Search and filter this provider's lineup — pricing per million tokens, context window, modalities, reasoning effort and independent benchmark scores where available.
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...
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...
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window....
ReasoningTool callingVisionStreamingJSON mode
Context window1.05M tok
Max output943.7K tok
ReleasedApr 8, 2026
Knowledge cutoff—
Text + Image + Video + File→Text
Input$1.25 / 1M tok
Output$4.25 / 1M tok
Cache read$0.15 / 1M tok
Effort: xhigh, high, medium, low, minimal · always on
Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window....
ReasoningTool callingVisionStreamingJSON mode
Context window1.05M tok
Max output943.7K tok
ReleasedAug 5, 2026
Knowledge cutoff—
Text + Image + Video + File→Text
Input$1.25 / 1M tok
Output$4.25 / 1M tok
Cache read$0.15 / 1M tok
Effort: xhigh, high, medium, low, minimal · always on
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...
ReasoningTool callingVisionStreamingJSON mode
Context window1.05M tok
Max output943.7K tok
ReleasedAug 5, 2026
Knowledge cutoff—
Text + Image + Video + File→Text
Input$0.1 / 1M tok
Output$0.2 / 1M tok
Cache read$0.002 / 1M tok
Effort: xhigh, high, medium, low, minimal · always on
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...
ReasoningTool callingVisionStreamingJSON mode
Context window1.05M tok
Max output943.7K tok
ReleasedSep 2, 2026
Knowledge cutoff—
Text + Image + Video + File→Text
Input$1.25 / 1M tok
Output$4.25 / 1M tok
Cache read$0.15 / 1M tok
Effort: max, xhigh, high, medium, low, minimal · always on
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...
ReasoningTool callingVisionStreamingJSON mode
Context window1.05M tok
Max output943.7K tok
ReleasedSep 2, 2026
Knowledge cutoff—
Text + Image + Video + File→Text
Input$0.1 / 1M tok
Output$0.2 / 1M tok
Cache read$0.002 / 1M tok
Effort: max, xhigh, high, medium, low, minimal · always on
Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
UltraGPT