Muse Wonder NEW

A multimodal reasoning model from Meta for coding and complex agent workflows.

Accepts text, images, video, audio and document inputs upstream and produces text-based responses for analysis and code generation.

Supports a large context window for reasoning over extensive codebases and conversation history.

Provides tool-call support and structured output formats to integrate reasoning with external services and automation.

Delivers code explanation, debugging guidance, refactoring suggestions, implementation plans and patch reviews.

Accessible via a web chat interface and an OpenAI-compatible API with configurable reasoning effort.

Key Features

• Accepts text, images, video, audio and document inputs and produces text-based responses for analysis and code generation
• Supports a large context window for reasoning over extensive codebases and conversation history
• Provides tool-call support and structured output formats to integrate with external services and automation
• Offers code-focused capabilities: code explanation, debugging guidance, refactoring suggestions, implementation plans and patch reviews
• Accessible via a web chat interface and an OpenAI-compatible API with configurable reasoning effort

Use Cases

• Refactor large legacy codebases using Muse Wonder's large-context reasoning and multimodal inputs (source code, design docs, screenshots) to generate context-aware refactors, automatic unit tests, and ready-to-apply patch reviews via an OpenAI-compatible API
• Diagnose and fix complex bugs by feeding Muse Wonder crash logs, stack traces, screen recordings, and repository snapshots to produce step-by-step debug plans, reproducible test cases, and concrete patches with tool-call integration to run and validate fixes
• Automate end-to-end developer workflows—use Muse Wonder to run code reviews, generate PR descriptions, apply fixes, run CI checks, and orchestrate agent workflows across issue trackers and CI/CD tools using multimodal reasoning and tool-call support for continuous code quality

Who is it for?

• Software engineers
• Full-stack developers
• Machine learning engineers
• Data scientists
• Devops and sre engineers
• Qa engineers and testers
• Technical leads and engineering managers
• Api integrators and platform engineers
• Tool builders and automation engineers
• Developers performing code review and refactoring