Modèles

433 modèles

OpenAI: GPT-6 AstraFichierImageTexte

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...

par openai5 sept. 2026contexte de 1,05 M17 550 ₩ / 87 750 ₩ · 1M

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...

par openai5 sept. 2026contexte de 1,05 M8 775 ₩ / 43 875 ₩ · 1M
OpenAI: GPT-6 Astra ProFichierImageTexte

GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

par openai5 sept. 2026contexte de 1,05 M17 550 ₩ / 87 750 ₩ · 1M

GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

par openai5 sept. 2026contexte de 1,05 M8 775 ₩ / 43 875 ₩ · 1M

Ling 3.0 Flash Sante is a health and medicine-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for...

par inclusionai5 sept. 2026contexte de 262,14 kGratuit / Gratuit · 1M
Qwen: Qwen3.8 Max (0902)TexteImageVidéo

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

par qwen4 sept. 2026contexte de 1 M3 510 ₩ / 10 530 ₩ · 1M

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

par meta3 sept. 2026contexte de 1,05 M176 ₩ / 351 ₩ · 1M
Meta: Muse Spark 1.3TexteImageVidéo

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...

par meta3 sept. 2026contexte de 1,05 M2 194 ₩ / 7 459 ₩ · 1M
Google: Gemini 3.8 FlashTexteImageVidéo

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

par google3 sept. 2026contexte de 1,05 M1 316 ₩ / 6 581 ₩ · 1M

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

par google3 sept. 2026contexte de 1,05 M658 ₩ / 3 291 ₩ · 1M

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

par anthropic2 sept. 2026contexte de 1 M17 550 ₩ / 87 750 ₩ · 1M

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

par anthropic2 sept. 2026contexte de 1 M8 775 ₩ / 43 875 ₩ · 1M

Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...

par inception1 sept. 2026contexte de 260 k70 ₩ / 263 ₩ · 1M

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...

par ibm-granite1 sept. 2026contexte de 131,07 k176 ₩ / 263 ₩ · 1M
10,97 Bn tokens par semaine

Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that...

par tencent28 août 2026contexte de 1,05 M1 464 ₩ / 4 389 ₩ · 1M

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...

par inclusionai28 août 2026contexte de 262,14 k105 ₩ / 316 ₩ · 1M

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...

par inclusionai28 août 2026contexte de 262,14 kGratuit / Gratuit · 1M
Z.ai: GLM Flash LatestTexteImageVidéo

This model always redirects to the latest model in the GLM Flash family.

par ~z-ai27 août 2026contexte de 1,31 M132 ₩ / 439 ₩ · 1M
Qwen: Qwen3.8 FlashTexteImageVidéo

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

par qwen27 août 2026contexte de 1 M263 ₩ / 825 ₩ · 1M
Z.ai: GLM 5.3 FlashTexteImageVidéo
11,95 Bn tokens par semaine

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

par z-ai26 août 2026contexte de 1,31 M132 ₩ / 439 ₩ · 1M

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

par z-ai26 août 2026contexte de 1,05 M263 ₩ / 878 ₩ · 1M

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

par meta22 août 2026contexte de 1,05 M176 ₩ / 351 ₩ · 1M

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...

par deepseek21 août 2026contexte de 1,05 M386 ₩ / 1 158 ₩ · 1M

Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided...

par tencent20 août 2026contexte de 8 k77 ₩ / 311 ₩ · 1M

Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and...

par tencent20 août 2026contexte de 8 k130 ₩ / 518 ₩ · 1M

This model always redirects to the latest GLM model from Z.ai.

par ~z-ai19 août 2026contexte de 1,31 M2 053 ₩ / 6 950 ₩ · 1M

Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.

par tencent19 août 2026contexte de 8 k130 ₩ / 518 ₩ · 1M
2,24 Bn tokens par semaine

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

par z-ai19 août 2026contexte de 1,31 M2 457 ₩ / 7 722 ₩ · 1M
Qwen: Qwen3.8 27BTexteImageVidéo

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

par qwen15 août 2026contexte de 1 M737 ₩ / 5 265 ₩ · 1M

Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is...

par dots-studio14 août 2026contexte de 512 kGratuit / Gratuit · 1M
Google: Gemini 3.7 FlashTexteImageVidéo
2,63 Bn tokens par semaine

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

par google14 août 2026contexte de 1,05 M1 316 ₩ / 6 581 ₩ · 1M

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

par google14 août 2026contexte de 1,05 M658 ₩ / 3 291 ₩ · 1M

Seed 2.1 Turbo is a multimodal model from ByteDance Seed for coding and long-horizon agent workflows. It is suited for end-to-end software delivery, multi-step task execution, and understanding visual and...

par bytedance-seed13 août 2026contexte de 262,14 k878 ₩ / 4 388 ₩ · 1M

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...

par qwen13 août 2026contexte de 1,05 M3 510 ₩ / 10 530 ₩ · 1M

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...

par qwen13 août 2026contexte de 1,01 M3 510 ₩ / 10 530 ₩ · 1M

Seed 2.0 Code is a model from ByteDance Seed optimized for agentic coding. It is suited for frontend development, multilingual programming tasks, and coding-agent workflows in tools such as Claude...

par bytedance-seed13 août 2026contexte de 262,14 k878 ₩ / 5 265 ₩ · 1M
1,08 Bn tokens par semaine

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.

par deepseek13 août 2026contexte de 1,05 M1 967 ₩ / 5 900 ₩ · 1M

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.

par deepseek13 août 2026contexte de 1,05 M2 317 ₩ / 6 950 ₩ · 1M
SpaceXAI: Grok 4.6TexteImageFichier

Grok 4.6 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.

par x-ai13 août 2026contexte de 500 k3 510 ₩ / 10 530 ₩ · 1M

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...

par liquid12 août 2026contexte de 65,54 kGratuit / Gratuit · 1M

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...

par nvidia11 août 2026contexte de 262,14 k140 ₩ / 351 ₩ · 1M

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...

par nvidia11 août 2026contexte de 1 MGratuit / Gratuit · 1M
Sakana: Sakana NamazuTexteImageFichier

Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following,...

par sakana11 août 2026contexte de 262,14 k1 667 ₩ / 7 020 ₩ · 1M

Solar Pro 4 is Upstage's cost-efficient large language model, featuring a 524K context window. It is built for long-horizon tasks and agentic workflows, with strong capabilities in office productivity, document-intensive...

par upstage10 août 2026contexte de 524,29 k53 ₩ / 211 ₩ · 1M

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

par meta10 août 2026contexte de 131,07 k527 ₩ / 1 931 ₩ · 1M

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

par meta10 août 2026contexte de 131,07 k614 ₩ / 2 633 ₩ · 1M
Meta: Muse Spark 1.2TexteImageVidéo

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...

par meta6 août 2026contexte de 1,05 M2 194 ₩ / 7 459 ₩ · 1M

This model always redirects to the latest model in the DeepSeek V4 Flash family.

par ~deepseek2 août 2026contexte de 1,31 M88 ₩ / 175 ₩ · 1M
11,29 Bn tokens par semaine

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....

par deepseek31 juil. 2026contexte de 1,31 M114 ₩ / 316 ₩ · 1M

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....

par deepseek31 juil. 2026contexte de 1,05 M246 ₩ / 491 ₩ · 1M

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

par thinkingmachines31 juil. 2026contexte de 1,05 M790 ₩ / 2 106 ₩ · 1M

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

par thinkingmachines31 juil. 2026contexte de 524,29 k878 ₩ / 2 106 ₩ · 1M

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

par thinkingmachines31 juil. 2026contexte de 1,05 MGratuit / Gratuit · 1M
Qwen: Qwen3.7 FlashTexteImageVidéo

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...

par qwen28 juil. 2026contexte de 1 M53 ₩ / 228 ₩ · 1M
Claude Opus 5TexteImageFichier
1,43 Bn tokens par semaine

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

par anthropic25 juil. 2026contexte de 1 M8 775 ₩ / 43 875 ₩ · 1M
Claude Opus 5 (batch)TexteImageFichier

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

par anthropic25 juil. 2026contexte de 1 M4 388 ₩ / 21 938 ₩ · 1M

*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...

par inclusionai23 juil. 2026contexte de 262,14 k37 ₩ / 111 ₩ · 1M
1,36 Bn tokens par semaine

Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...

par poolside22 juil. 2026contexte de 1,05 M158 ₩ / 316 ₩ · 1M

Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...

par poolside22 juil. 2026contexte de 262,14 kGratuit / Gratuit · 1M
Google: Gemini 3.6 FlashTexteImageVidéo

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

par google22 juil. 2026contexte de 1,05 M1 316 ₩ / 6 581 ₩ · 1M

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

par google22 juil. 2026contexte de 1,05 M658 ₩ / 3 291 ₩ · 1M

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

par google22 juil. 2026contexte de 1,05 M527 ₩ / 4 388 ₩ · 1M

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

par google22 juil. 2026contexte de 1,05 M263 ₩ / 2 194 ₩ · 1M

LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...

par meituan20 juil. 2026contexte de 1,05 M527 ₩ / 2 106 ₩ · 1M

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

par thinkingmachines18 juil. 2026contexte de 1,05 M1 755 ₩ / 7 108 ₩ · 1M

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

par thinkingmachines18 juil. 2026contexte de 524,29 k1 755 ₩ / 7 108 ₩ · 1M

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

par thinkingmachines18 juil. 2026contexte de 1,05 MGratuit / Gratuit · 1M
Auto Router (Beta)TexteImageAudio

Auto Router (Beta) is a task-aware router from OpenRouter. It classifies each request, then routes it the [most popular model](/rankings#task-spend) for that task based on aggregate spend, filtered by your...

par openrouter18 juil. 2026contexte de 2 MGratuit / Gratuit · 1M
MoonshotAI: Kimi K3TexteImageVidéo
1,81 Bn tokens par semaine

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

par moonshotai17 juil. 2026contexte de 1,05 M5 265 ₩ / 26 325 ₩ · 1M

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

par moonshotai17 juil. 2026contexte de 1,05 M5 265 ₩ / 26 325 ₩ · 1M
Meta: Muse Spark 1.1TexteImageVidéo

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...

par meta17 juil. 2026contexte de 1,05 M2 194 ₩ / 7 459 ₩ · 1M

KAT-Coder-Pro V2.5 is a flagship-level Agentic Coding model that can directly hand over an entire issue or an entire business workflow to it, allowing it to autonomously locate and make...

par kwaipilot11 juil. 2026contexte de 262,14 k1 299 ₩ / 5 195 ₩ · 1M
OpenAI: GPT-5.6 Luna ProFichierImageTexte

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

par openai9 juil. 2026contexte de 1,05 M351 ₩ / 2 106 ₩ · 1M

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

par openai9 juil. 2026contexte de 1,05 M176 ₩ / 1 053 ₩ · 1M
OpenAI: GPT-5.6 LunaFichierImageTexte
11,6 Bn tokens par semaine

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

par openai9 juil. 2026contexte de 1,05 M351 ₩ / 2 106 ₩ · 1M

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

par openai9 juil. 2026contexte de 1,05 M176 ₩ / 1 053 ₩ · 1M
OpenAI: GPT-5.6 Terra ProFichierImageTexte

GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

par openai9 juil. 2026contexte de 1,05 M3 510 ₩ / 21 060 ₩ · 1M

GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

par openai9 juil. 2026contexte de 1,05 M1 755 ₩ / 10 530 ₩ · 1M
OpenAI: GPT-5.6 TerraFichierImageTexte

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

par openai9 juil. 2026contexte de 1,05 M3 510 ₩ / 21 060 ₩ · 1M

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

par openai9 juil. 2026contexte de 1,05 M1 755 ₩ / 10 530 ₩ · 1M
OpenAI: GPT-5.6 Sol ProFichierImageTexte

GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

par openai9 juil. 2026contexte de 1,05 M3 510 ₩ / 17 550 ₩ · 1M

GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

par openai9 juil. 2026contexte de 1,05 M1 755 ₩ / 8 775 ₩ · 1M
OpenAI: GPT-5.6 SolFichierImageTexte
1,81 Bn tokens par semaine

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...

par openai9 juil. 2026contexte de 1,05 M3 510 ₩ / 17 550 ₩ · 1M

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...

par openai9 juil. 2026contexte de 1,05 M1 755 ₩ / 8 775 ₩ · 1M
SpaceXAI: Grok 4.5TexteImageFichier

Grok 4.5 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM.

par x-ai9 juil. 2026contexte de 500 k3 510 ₩ / 10 530 ₩ · 1M
xAI: Grok LatestTexteImageFichier

This model always redirects to the latest Grok model from xAI.

par ~x-ai8 juil. 2026contexte de 500 k3 510 ₩ / 10 530 ₩ · 1M

Aion-3.0 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the DeepSeek family of models. It uses a collaborative generation process in which multiple specialized models each...

par aion-labs8 juil. 2026contexte de 131,07 k1 229 ₩ / 2 457 ₩ · 1M

Aion-3.0 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple specialized models each contribute...

par aion-labs8 juil. 2026contexte de 131,07 k5 265 ₩ / 10 530 ₩ · 1M
5,25 Bn tokens par semaine

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...

par tencent6 juil. 2026contexte de 262,14 k232 ₩ / 927 ₩ · 1M

Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026). It combines...

par poolside2 juil. 2026contexte de 262,14 k105 ₩ / 211 ₩ · 1M

Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026). It combines...

par poolside2 juil. 2026contexte de 262,14 kGratuit / Gratuit · 1M
1,27 Bn tokens par semaine

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...

par anthropic1 juil. 2026contexte de 1 M3 510 ₩ / 17 550 ₩ · 1M

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...

par anthropic1 juil. 2026contexte de 1 M1 755 ₩ / 8 775 ₩ · 1M

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...

par google1 juil. 2026contexte de 65,54 k439 ₩ / 2 633 ₩ · 1M

Nex-N2-Mini is an open-source agentic mixture-of-experts model from Nex AGI, the smaller sibling in the Nex-N2 series. It accepts text and image input and is built for coding, tool use,...

par nex-agi24 juin 2026contexte de 262,14 k44 ₩ / 176 ₩ · 1M

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

par sakana24 juin 2026contexte de 1 M8 775 ₩ / 52 650 ₩ · 1M

Gemini 3.1 Flash Image, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced...

par google18 juin 2026contexte de 131,07 k878 ₩ / 5 265 ₩ · 1M

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...

par google18 juin 2026contexte de 131,07 k3 510 ₩ / 21 060 ₩ · 1M

North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...

par cohere18 juin 2026contexte de 256 kGratuit / Gratuit · 1M
2,19 Bn tokens par semaine

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

par z-ai17 juin 2026contexte de 1,05 M1 695 ₩ / 5 328 ₩ · 1M

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

par z-ai17 juin 2026contexte de 256 kGratuit / Gratuit · 1M

Fusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a...

par openrouter14 juin 2026contexte de 1 MGratuit / Gratuit · 1M

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

par moonshotai12 juin 2026contexte de 262,14 k1 158 ₩ / 5 967 ₩ · 1M

This model always redirects to the latest model in the Claude Fable family.

par ~anthropic10 juin 2026contexte de 1 M17 550 ₩ / 87 750 ₩ · 1M
Anthropic: Claude Fable 5TexteImageFichier

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...

par anthropic9 juin 2026contexte de 1 M17 550 ₩ / 87 750 ₩ · 1M

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...

par anthropic9 juin 2026contexte de 1 M8 775 ₩ / 43 875 ₩ · 1M

Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...

par nex-agi9 juin 2026contexte de 262,14 k439 ₩ / 1 755 ₩ · 1M

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...

par nvidia4 juin 2026contexte de 131,07 k351 ₩ / 351 ₩ · 1M

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...

par nvidia4 juin 2026contexte de 128 kGratuit / Gratuit · 1M
4,1 Bn tokens par semaine

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...

par nvidia4 juin 2026contexte de 262,14 k1 097 ₩ / 5 484 ₩ · 1M

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...

par nvidia4 juin 2026contexte de 1 MGratuit / Gratuit · 1M

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...

par qwen3 juin 2026contexte de 1 M562 ₩ / 2 246 ₩ · 1M
MiniMax: MiniMax M3TexteImageVidéo
6,6 Bn tokens par semaine

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

par minimax1 juin 2026contexte de 1,05 M527 ₩ / 2 106 ₩ · 1M

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

par minimax1 juin 2026contexte de 524,29 k527 ₩ / 2 106 ₩ · 1M

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

par minimax1 juin 2026contexte de 1,05 MGratuit / Gratuit · 1M
StepFun: Step 3.7 FlashTexteImageVidéo

Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...

par stepfun29 mai 2026contexte de 262,14 k351 ₩ / 2 018 ₩ · 1M

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

par anthropic28 mai 2026contexte de 1 M8 775 ₩ / 43 875 ₩ · 1M

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

par anthropic28 mai 2026contexte de 1 M4 388 ₩ / 21 938 ₩ · 1M

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...

par qwen22 mai 2026contexte de 1 M2 589 ₩ / 7 766 ₩ · 1M
SpaceXAI: Grok Build 0.1TexteImageFichier

Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...

par x-ai21 mai 2026contexte de 256 k1 755 ₩ / 3 510 ₩ · 1M
Google: Gemini 3.5 FlashTexteImageVidéo

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

par google19 mai 2026contexte de 1,05 M2 633 ₩ / 15 795 ₩ · 1M

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

par google19 mai 2026contexte de 1,05 M1 316 ₩ / 7 898 ₩ · 1M

Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...

par perceptron12 mai 2026contexte de 32,77 k263 ₩ / 2 633 ₩ · 1M

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...

par google8 mai 2026contexte de 1,05 M439 ₩ / 2 633 ₩ · 1M

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...

par google8 mai 2026contexte de 1,05 M219 ₩ / 1 316 ₩ · 1M
OpenAI: GPT Chat LatestTexteImageFichier

GPT Chat Latest points to OpenAI's stable API alias `chat-latest` that always resolves to the latest Instant chat model used in ChatGPT. As OpenAI rolls out new Instant model updates...

par openai6 mai 2026contexte de 400 k8 775 ₩ / 52 650 ₩ · 1M
SpaceXAI: Grok 4.3TexteImageFichier

Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

par x-ai1 mai 2026contexte de 1 M2 194 ₩ / 4 388 ₩ · 1M

Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

par x-ai1 mai 2026contexte de 1 M1 755 ₩ / 3 510 ₩ · 1M

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

par mistralai1 mai 2026contexte de 262,14 k2 633 ₩ / 13 163 ₩ · 1M

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

par mistralai1 mai 2026contexte de 32,77 k1 316 ₩ / 6 581 ₩ · 1M

NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...

par nvidia29 avr. 2026contexte de 256 kGratuit / Gratuit · 1M

This model always redirects to the latest model in the Anthropic Claude Haiku family.

par ~anthropic28 avr. 2026contexte de 200 k1 755 ₩ / 8 775 ₩ · 1M
OpenAI GPT Mini LatestFichierImageTexte

This model always redirects to the latest model in the OpenAI GPT Mini family.

par ~openai28 avr. 2026contexte de 400 k1 316 ₩ / 7 898 ₩ · 1M
Google Gemini Pro LatestAudioFichierImage

This model always redirects to the latest model in the Google Gemini Pro family.

par ~google28 avr. 2026contexte de 1,05 M3 510 ₩ / 21 060 ₩ · 1M
MoonshotAI Kimi LatestTexteImageVidéo

This model always redirects to the latest model in the MoonshotAI Kimi family.

par ~moonshotai28 avr. 2026contexte de 1,05 M4 475 ₩ / 22 376 ₩ · 1M

This model always redirects to the latest model in the Google Gemini Flash family.

par ~google28 avr. 2026contexte de 1,05 M1 316 ₩ / 6 581 ₩ · 1M

This model always redirects to the latest model in the Anthropic Claude Sonnet family.

par ~anthropic28 avr. 2026contexte de 1 M3 510 ₩ / 17 550 ₩ · 1M
OpenAI GPT LatestFichierImageTexte

This model always redirects to the latest model in the OpenAI GPT family.

par ~openai28 avr. 2026contexte de 1,05 M3 510 ₩ / 17 550 ₩ · 1M

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...

par qwen27 avr. 2026contexte de 1 M527 ₩ / 3 159 ₩ · 1M
Qwen: Qwen3.6 FlashTexteImageVidéo

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...

par qwen27 avr. 2026contexte de 1 M329 ₩ / 1 974 ₩ · 1M
Qwen: Qwen3.6 35B A3BTexteImageVidéo

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...

par qwen27 avr. 2026contexte de 262,14 k176 ₩ / 1 580 ₩ · 1M

Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and...

par qwen27 avr. 2026contexte de 262,14 k1 802 ₩ / 10 814 ₩ · 1M
Qwen: Qwen3.6 27BTexteImageVidéo

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...

par qwen27 avr. 2026contexte de 262,14 k527 ₩ / 3 510 ₩ · 1M
OpenAI: GPT-5.5 ProFichierImageTexte

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...

par openai25 avr. 2026contexte de 1,05 M52 650 ₩ / 315 900 ₩ · 1M

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...

par openai25 avr. 2026contexte de 1,05 M26 325 ₩ / 157 950 ₩ · 1M
OpenAI: GPT-5.5FichierImageTexte

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

par openai25 avr. 2026contexte de 1,05 M8 775 ₩ / 52 650 ₩ · 1M
OpenAI: GPT-5.5 (batch)FichierImageTexte

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

par openai25 avr. 2026contexte de 1,05 M4 388 ₩ / 26 325 ₩ · 1M
1,49 Bn tokens par semaine

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...

par deepseek24 avr. 2026contexte de 1,05 M1 331 ₩ / 2 663 ₩ · 1M
5,18 Bn tokens par semaine

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...

par deepseek24 avr. 2026contexte de 1,05 M144 ₩ / 287 ₩ · 1M

Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to...

par tencent23 avr. 2026contexte de 262,14 k316 ₩ / 1 053 ₩ · 1M

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....

par xiaomi23 avr. 2026contexte de 1,05 M763 ₩ / 1 527 ₩ · 1M
Xiaomi: MiMo-V2.5TexteAudioImage
4,5 Bn tokens par semaine

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...

par xiaomi23 avr. 2026contexte de 1,05 M246 ₩ / 491 ₩ · 1M
OpenAI: GPT-5.4 Image 2ImageTexteFichier

[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and...

par openai22 avr. 2026contexte de 272 k14 040 ₩ / 26 325 ₩ · 1M

This model always redirects to the latest model in the Claude Opus family.

par ~anthropic22 avr. 2026contexte de 1 M8 775 ₩ / 43 875 ₩ · 1M

The Pareto Router maintains a tiered shortlist of strong coding models, ranked by [Artificial Analysis](https://artificialanalysis.ai/) coding percentiles. Set min_coding_score between 0 and 1 on the [pareto-router plugin](https://openrouter.ai/docs/guides/routing/routers/pareto-router#the-min_coding_score-parameter) to control how...

par openrouter21 avr. 2026contexte de 2 MGratuit / Gratuit · 1M

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...

par moonshotai21 avr. 2026contexte de 262,14 k1 667 ₩ / 7 020 ₩ · 1M

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

par anthropic16 avr. 2026contexte de 1 M8 775 ₩ / 43 875 ₩ · 1M

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

par anthropic16 avr. 2026contexte de 1 M4 388 ₩ / 21 938 ₩ · 1M

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...

par z-ai8 avr. 2026contexte de 204,8 k1 695 ₩ / 5 328 ₩ · 1M
Google: Gemma 4 26B A4B ImageTexteVidéo

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

par google3 avr. 2026contexte de 262,14 k123 ₩ / 597 ₩ · 1M

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

par google3 avr. 2026contexte de 262,14 kGratuit / Gratuit · 1M
Google: Gemma 4 31BImageTexteVidéo

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

par google3 avr. 2026contexte de 262,14 k158 ₩ / 597 ₩ · 1M

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

par google3 avr. 2026contexte de 262,14 k684 ₩ / 1 702 ₩ · 1M

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

par google3 avr. 2026contexte de 262,14 kGratuit / Gratuit · 1M
Qwen: Qwen3.6 PlusTexteImageVidéo

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...

par qwen2 avr. 2026contexte de 1 M570 ₩ / 3 422 ₩ · 1M
Z.ai: GLM 5V TurboImageTexteVidéo

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...

par z-ai2 avr. 2026contexte de 202,75 k2 106 ₩ / 7 020 ₩ · 1M

Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...

par arcee-ai2 avr. 2026contexte de 262,14 k439 ₩ / 1 404 ₩ · 1M

Grok 4.20 Multi-Agent is a variant of SpaceXAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...

par x-ai1 avr. 2026contexte de 2 M2 194 ₩ / 4 388 ₩ · 1M
SpaceXAI: Grok 4.20TexteImageFichier

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

par x-ai1 avr. 2026contexte de 2 M2 194 ₩ / 4 388 ₩ · 1M

Full-length songs are priced at $0.08 per song. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate high-quality, 48kHz...

par google31 mars 2026contexte de 1,05 MGratuit / Gratuit · 1M

30 second duration clips are priced at $0.04 per clip. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate...

par google31 mars 2026contexte de 1,05 MGratuit / Gratuit · 1M

KAT-Coder-Pro V2 is the latest high-performance model in KwaiKAT’s KAT-Coder series, designed for complex enterprise-grade software engineering and SaaS integration. It builds on the agentic coding strengths of earlier versions,...

par kwaipilot28 mars 2026contexte de 262,14 k527 ₩ / 2 106 ₩ · 1M
Reka EdgeImageTexteVidéo

Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading performance in image understanding,...

par rekaai21 mars 2026contexte de 16,38 k176 ₩ / 176 ₩ · 1M

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

par minimax18 mars 2026contexte de 204,8 k527 ₩ / 2 106 ₩ · 1M

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

par minimax18 mars 2026contexte de 196,61 kGratuit / Gratuit · 1M
OpenAI: GPT-5.4 NanoFichierImageTexte

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...

par openai17 mars 2026contexte de 400 k351 ₩ / 2 194 ₩ · 1M

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...

par openai17 mars 2026contexte de 400 k176 ₩ / 1 097 ₩ · 1M
OpenAI: GPT-5.4 MiniFichierImageTexte

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...

par openai17 mars 2026contexte de 400 k1 316 ₩ / 7 898 ₩ · 1M

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...

par openai17 mars 2026contexte de 400 k658 ₩ / 3 949 ₩ · 1M

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...

par mistralai17 mars 2026contexte de 262,14 k263 ₩ / 1 053 ₩ · 1M

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows...

par z-ai15 mars 2026contexte de 202,75 k2 106 ₩ / 7 020 ₩ · 1M

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...

par nvidia12 mars 2026contexte de 1 M149 ₩ / 702 ₩ · 1M

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...

par nvidia12 mars 2026contexte de 262,14 kGratuit / Gratuit · 1M

Seed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency, making it a practical default choice for most production workloads across...

par bytedance-seed11 mars 2026contexte de 262,14 k439 ₩ / 3 510 ₩ · 1M
Qwen: Qwen3.5-9BTexteImageVidéo

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

par qwen10 mars 2026contexte de 262,14 k176 ₩ / 263 ₩ · 1M
Qwen: Qwen3.5-9B (batch)TexteImageVidéo

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

par qwen10 mars 2026contexte de 262,14 k298 ₩ / 439 ₩ · 1M
OpenAI: GPT-5.4 ProTexteImageFichier

GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...

par openai6 mars 2026contexte de 1,05 M52 650 ₩ / 315 900 ₩ · 1M

GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...

par openai6 mars 2026contexte de 1,05 M26 325 ₩ / 157 950 ₩ · 1M
OpenAI: GPT-5.4TexteImageFichier

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...

par openai6 mars 2026contexte de 1,05 M4 388 ₩ / 26 325 ₩ · 1M
OpenAI: GPT-5.4 (batch)TexteImageFichier

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...

par openai6 mars 2026contexte de 1,05 M2 194 ₩ / 13 163 ₩ · 1M

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...

par inception4 mars 2026contexte de 128 k439 ₩ / 1 316 ₩ · 1M

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across...

par google3 mars 2026contexte de 1,05 M439 ₩ / 2 633 ₩ · 1M

Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...

par bytedance-seed27 févr. 2026contexte de 262,14 k176 ₩ / 702 ₩ · 1M

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines...

par google27 févr. 2026contexte de 65,54 k878 ₩ / 5 265 ₩ · 1M
Qwen: Qwen3.5-35B-A3BTexteImageVidéo

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

par qwen26 févr. 2026contexte de 262,14 k548 ₩ / 2 194 ₩ · 1M
Qwen: Qwen3.5-27BTexteImageVidéo

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...

par qwen26 févr. 2026contexte de 262,14 k342 ₩ / 2 738 ₩ · 1M
Qwen: Qwen3.5-122B-A10BTexteImageVidéo

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

par qwen26 févr. 2026contexte de 262,14 k509 ₩ / 4 212 ₩ · 1M
Qwen: Qwen3.5-FlashTexteImageVidéo

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...

par qwen26 févr. 2026contexte de 1 M114 ₩ / 456 ₩ · 1M

Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-party...

par google26 févr. 2026contexte de 1,05 M3 510 ₩ / 21 060 ₩ · 1M
OpenAI: GPT-5.3-CodexTexteImageFichier

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...

par openai25 févr. 2026contexte de 400 k3 071 ₩ / 24 570 ₩ · 1M