Muse Wonder benchmarks, pricing and specs
Muse Wonder is a Meta model released on October 12, 2026 that takes text, image, audio and video input and produces text. It costs $4 per 1M input tokens and $20 per 1M output tokens and accepts up to 1,048,576 tokens of context.
- Per 1M input tokens
- $4
- Per 1M output tokens
- $20
- Context window
- 1.05M
Data verified October 13, 2026 · Dataset 2026-10-13
Key facts
- Provider
- Meta
- Model family
- Muse Wonder
- Release date
- October 12, 2026
- Status
- Current
- Access
- API only
- API model id
- muse-wonder-1.0
- Context window
- 1,048,576 tokens
- Max output
- Not reported
- Input
- text, image, audio, video
- Output
- text
- Task families
- text, multimodal
- Declared capabilities
- reasoning, coding, agentic coding, instruction following, image understanding, video understanding, audio understanding, document understanding
Muse Wonder pricing
It is the #8 most expensive of 47 current text models priced per 1M input tokens.
Independent benchmark results
Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Meta's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.
No independent benchmark has published a result for Muse Wonder yet. It is still compared below on price, context and capabilities.
Strengths, cautions and best uses
Strengths
- Meta's most capable model, built for multi-file software changes and long-horizon agent runs with sub-agent delegation and parallel tool calls
- A 1,048,576-token context window with no long-context premium: a full window is billed at the same rate as a short prompt
- Uses the same endpoints as Muse Spark, so switching a workload is a model id change
Cautions
- Meta lists it as a preview, and the Model API serves Standard mode only, with no discounted Contributor tier
- The higher-capability Muse Wonder Full is only available through Muse Code subscriptions, not per token
- Released after the latest Arena and Epoch AI snapshots, so no independent score is recorded yet
Best for
- Multi-file coding changes and multi-hour agent runs
- Sub-agent orchestration where capability matters more than cost
Alternatives to Muse Wonder
The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.
Claude Opus 5.5
- Same price per 1M input tokens, $4
- From Anthropic
GPT-5.6 Sol
- Same price per 1M input tokens, $4
- From OpenAI
Claude Opus 4.8
- 25% more per 1M input tokens, $5 vs $4
- From Anthropic
GPT-5.5
- 25% more per 1M input tokens, $5 vs $4
- From OpenAI
Compare Muse Wonder with
Articles about Muse Wonder
- Muse Wonder: Meta's Frontier Model, Benchmarks and PriceOctober 13, 2026
Muse Wonder FAQ
How much does Muse Wonder cost?
Muse Wonder costs $4 per 1M input tokens and $20 per 1M output tokens at the standard tier. It is the #8 most expensive of 47 current text models priced per 1M input tokens. Source: Meta, verified October 13, 2026.
What is the context window of Muse Wonder?
Muse Wonder accepts up to 1,048,576 tokens of context. That ranks #10 of 57 current text models by context length.
Is Muse Wonder open source or API only?
Muse Wonder is available through Meta's API only; its weights are not published.
What are the best alternatives to Muse Wonder?
The closest current alternatives by price and measured performance are Claude Opus 5.5 (same price per 1M input tokens, $4), GPT-5.6 Sol (same price per 1M input tokens, $4), Claude Opus 4.8 (25% more per 1M input tokens, $5 vs $4) and GPT-5.5 (25% more per 1M input tokens, $5 vs $4).
Sources
- Meta Model API model list · Meta · official · verified October 13, 2026
- Muse Wonder model card · Meta · official · verified October 13, 2026
- Meta Model API pricing and rate limits · Meta · official · verified October 13, 2026
Cite this page
Van Data Team. "Muse Wonder Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-13. https://vandatateam.com/ai-model-benchmarks/muse-wonder
Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.
Production evaluation
Deciding whether Muse Wonder fits your workload?
Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- Evaluation cases and acceptance thresholds tied to real work
- Model routing, fallbacks and cost controls