Modèles

7 modèles

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

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

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
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