Modèles

44 modèles

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
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
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

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

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
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

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
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

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

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

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

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

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

par google19 févr. 2026contexte de 1,05 M3 510 ₩ / 21 060 ₩ · 1M

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

par google19 févr. 2026contexte de 1,05 M1 755 ₩ / 10 530 ₩ · 1M

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...

par google18 déc. 2025contexte de 1,05 M878 ₩ / 5 265 ₩ · 1M

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...

par google18 déc. 2025contexte de 1,05 M439 ₩ / 2 633 ₩ · 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 google21 nov. 2025contexte de 65,54 k3 510 ₩ / 21 060 ₩ · 1M

Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...

par google8 oct. 2025contexte de 32,77 k527 ₩ / 4 388 ₩ · 1M

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...

par google23 juil. 2025contexte de 1,05 M176 ₩ / 702 ₩ · 1M

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...

par google23 juil. 2025contexte de 1,05 M88 ₩ / 351 ₩ · 1M
Google: Gemini 2.5 FlashFichierImageTexte

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

par google18 juin 2025contexte de 1,05 M527 ₩ / 4 388 ₩ · 1M

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

par google18 juin 2025contexte de 1,05 M263 ₩ / 2 194 ₩ · 1M
Google: Gemini 2.5 ProTexteImageFichier

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

par google17 juin 2025contexte de 1,05 M2 194 ₩ / 17 550 ₩ · 1M

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

par google17 juin 2025contexte de 1,05 M1 097 ₩ / 8 775 ₩ · 1M

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

par google6 juin 2025contexte de 1,05 M2 194 ₩ / 17 550 ₩ · 1M

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

par google7 mai 2025contexte de 1,05 M2 194 ₩ / 17 550 ₩ · 1M

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

par google14 mars 2025contexte de 131,07 k88 ₩ / 176 ₩ · 1M

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

par google14 mars 2025contexte de 131,07 k88 ₩ / 263 ₩ · 1M

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

par google12 mars 2025contexte de 131,07 k140 ₩ / 790 ₩ · 1M

Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...

par google13 juil. 2024contexte de 8 k1 141 ₩ / 1 141 ₩ · 1M
Google: Gemma 4 26B A4BGPU localTexteImage

Gemma 4 26B (MoE 활성 4B, QAT AWQ-INT4). MyIP 로컬 GPU 기본 슬롯. tool calling 지원.

par googlecontexte de 32,77 k30 ₩ / 150 ₩ · 1M