Compare models
Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
- Muse WonderMetaRemove
- Nemotron 3.5 Super VL (Free)
- Nemotron 3.5 Super VL
- Muse Spark Open
- Gemini 4 Argon
- Gemini 3.1 Flash Lite Image (Google Vertex AI)
- Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access
- Gemini 3.1 Flash Image (Google Vertex AI)Enterprise & partner access
- Gemini 3.1 Flash Image (Google AI Studio)Enterprise & partner access
| Attribute | Muse Wondermuse-wonder |
|---|---|
| Pricing | |
| Input | $4.00 / 1M |
| Output | $20.00 / 1M |
| Cache Write (5m) | $4.00 / 1M |
| Cache Write (1h) | $4.00 / 1M |
| Cache Read | $4.00 / 1M |
| Web Search | $0 / 1M |
| Context | |
| Max context | 1M |
| Max output | N/A |
| Capabilities | |
| Vision | Yes |
| Function Calling | Yes |
| JSON Mode | Yes |
| Streaming | Yes |
| Catalogue | |
| Provider | Meta |
| Category | chat |
| Charge type | Pay As You Go |
| Released | — |
| Description | |
| Summary | Muse Wonder is Meta’s frontier multimodal reasoning model, designed for complex personal and professional agentic workflows. It supports text, image, video, audio, and PDF inputs with text output and features a 1M-token context window for sustained reasoning across long-running tasks. Optimized for autonomous execution and multi-agent orchestration, Muse Wonder can plan, delegate to subagents, coordinate parallel tool use, recover from errors, and operate browsers and applications across desktop and mobile environments. With cross-conversation context retrieval and its Active Focus training approach, it is well suited for complex software engineering, multi-file refactoring, computer use, and end-to-end workflows requiring persistence, adaptability, and minimal supervision. |