Terminal-Bench 4.0
muse-code1.4.1
Reasoning effort xhigh
Tested model identity
Muse Spark 1.3meta/muse-spark-1.395% CI 11.61%–17.49%
n = 330Muse 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...
Scores appear here when an evaluation matches this exact model.
Terminal-Bench 4.0
1.4.1Reasoning effort xhigh
meta/muse-spark-1.395% CI 11.61%–17.49%
n = 330Web search $0.0025/search
OpenRouter lists a 1,048,576-token context and up to 943,718 output tokens for this open-weight model aimed at agentic coding.
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...
Muse Voice Transcribe 1.0 is a synchronous speech-to-text model from Meta. It is suited for push-to-talk, endpointing, and speaker-aware transcription, with keyword biasing for domain terms and language…
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…