Muse Wonder (Max) Intelligence, Performance & Price Analysis
Model summary
Speed
Muse Wonder (Max) is amongst the leading models in intelligence, but somewhat expensive when comparing to other models of similar price. The model supports text, image, speech, and video input, outputs text, and has a 1M tokens context window.
Muse Wonder (Max) scores 52 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 27). When evaluating the Intelligence Index, it generated 130M tokens, which is somewhat verbose in comparison to the median of 85M.
Pricing for Muse Wonder (Max) is $4.00 per 1M input tokens (somewhat expensive, median: $2.00) and $20.00 per 1M output tokens (expensive, median: $10.00). On average, it costs $4.52 per task to evaluate Muse Wonder (Max) on the Intelligence Index.
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image, speech, and video |
| Output modality | Supports: text |
| Context window | 1M ~1573 A4 pages of size 12 Arial font |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
Speed
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Index vs. Cost per Intelligence Index Task
Measures the performance of models on specific capabilities and industries
Artificial Analysis Finance & Accounting Index
Intelligence Evaluations
Agentic knowledge work, (Elo-500)/2000
Agentic real-world work tasks, (Elo-500)/2000
Agentic SaaS workflows
Agentic coding & terminal use
Coding
Reasoning & knowledge
Professional document reasoning, All-pass
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Legal agentic work, Hallucination-Gated All-Pass Rate
Agentic business operations
Agentic scientific research workflows in a terminal
Agentic software engineering in open-source repositories
Quantitative analysis on spreadsheets & documents
Kubernetes incident root-cause analysis
Visual reasoning
Medical long context reasoning
AA-Briefcase v1.1Updated
AA-Briefcase Elo
AA-Omniscience
AA-Omniscience Index
Intelligence Index Comparisons
Intelligence Index vs. Cost per Intelligence Index Task
Token Use
Output Tokens per Intelligence Index Task
Cost
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window
Context Window
Frequently Asked Questions
Common questions about Muse Wonder (Max)
Muse Wonder (Max) was released on October 12, 2026.
Muse Wonder (Max) was created by Meta.
Muse Wonder (Max) scores 52 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 27).
Muse Wonder (Max) costs $4.00 per 1M input tokens (somewhat higher than average, median: $2.00) and $20.00 per 1M output tokens (at the higher end, median: $10.00), based on Meta's API.
Muse Wonder (Max) costs $4.00 per 1M input tokens and $20.00 per 1M output tokens (based on Meta's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $2.94 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Muse Wonder (Max) generated 130M output tokens, which is somewhat higher than average compared to other reasoning models in a similar price tier (median: 85M).
Yes, Muse Wonder (Max) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Muse Wonder (Max) supports text, image, speech, and video input.
Muse Wonder (Max) supports text output.
Yes, Muse Wonder (Max) supports image input and can analyze, describe, and answer questions about images.
Yes, Muse Wonder (Max) is multimodal. It can process text, image, speech, and video input and generate text output.
Muse Wonder (Max) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
No, Muse Wonder (Max) is proprietary. The model weights are not publicly available.
Muse Wonder (Max) is a proprietary model and Meta has not disclosed the model size or parameter count.
Muse Wonder (Max) achieves a score of 52 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Muse Wonder (Max) is available via API through 1 provider. Compare API providers
Muse Wonder (Max) is available through 1 API provider. Compare providers