Muse Spark 1.2 AI Evaluation | LayerLens - Benchmark Results & Performance

Model

Muse Spark 1.2 by Meta

Text+image+file+audio+video->text

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Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1, developed by Meta Superintelligence Labs. It features significant improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows, achieved through scaled training compute on coding tasks and expanded training environment diversity. The model is natively multimodal, accepting text, images, video, audio, and PDF documents, and supports a 1M-token context window. It powers Muse Code, Meta's terminal coding agent, and maintains strong performance in general agentic tasks alongside its coding specialization.

Evaluations

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Latency

—

Context length

1M

tokens

Cost

$1.25 · $4.25

input · output per 1M tokens

Key takeaways

Muse Spark 1.2 is a coding-focused model by Meta, specializing in code generation, complex debugging, codebase understanding, and end-to-end developer workflows.
It is a multimodal Transformer-based model, accepting text, images, video, audio, and PDF documents with a 1M-token context window.
The model was trained with scaled compute on coding tasks and diversified training environments, and it powers Muse Code, Meta's terminal coding agent.
Muse Spark 1.2 maintains strong performance in general agentic tasks alongside its coding specialization.
It is a proprietary model with 0 parameters listed, and features compliance with ISO42001, SOC2, and ISO27001 standards.

Technical specifications

Context length: 1M tokens
Max output: —
Architecture: Transformer
Modalities: text+image+file+audio+video->text
Parameters: —
Open weights: No
Licence: Proprietary
Regions: USA
Vendor: Meta
Provider model key: meta/muse-spark-1.2