Analysis Summary
Meta: Muse Wonder is developed by Meta. Released in October 2026, it is one of the newest models we cover. On our leaderboard it earns Frontier-tier status, ranking #6 of 703 models in our overall business-suitability ranking. For raw reasoning ability it ranks #6 of 437, putting it in among the very best models we track for overall intelligence.
Its 1M-token context window is larger than 95% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, Meta: Muse Wonder combines tool use, function calling, vision input, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.
At $4.00 input and $20.00 output per 1M tokens, Meta: Muse Wonder is premium priced. For organisations that want a no-compromise model for coding, analysis, and agentic automation, Meta: Muse Wonder is among the strongest choices available today.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Meta: Muse Wonder currently sits at #6 of 703 models on our board. We class it as a frontier-tier model.
Benchmarks
Artificial Analysis data refreshed Oct 14, 2026. Arena ratings from the Oct 13, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for Meta: Muse Wonder yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
This model was released recently. Benchmark figures are preliminary and are likely to be updated as independent testing is finalised.
How Meta: Muse Wonder compares
Meta: Muse Wonder ranks #6 of 437 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% of the models we list. At $4.00 per million input tokens it is cheaper than 7% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $4.00 | $0.004000 |
| Output | $20.00 | $0.020000 |
What would Meta: Muse Wonder cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 703 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Muse Wonder for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Muse Wonder
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with..
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<a href="https://designforonline.com/ai-models/meta-muse-wonder/"><img src="https://designforonline.com/?aiml_badge=meta-muse-wonder&theme=dark" alt="Meta: Muse Wonder, ranked #6 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/meta-muse-wonder/"><img src="https://designforonline.com/?aiml_badge=meta-muse-wonder&theme=light" alt="Meta: Muse Wonder, ranked #6 on the Design for Online AI Leaderboard" width="400" height="76"></a>
Frequently asked questions about Meta: Muse Wonder
How much does Meta: Muse Wonder cost?
Meta: Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens.
What is the context window of Meta: Muse Wonder?
Meta: Muse Wonder has a context window of 1,048,576 tokens (1M).
What can Meta: Muse Wonder do?
Meta: Muse Wonder supports image/vision input, tool use, and function calling.
Who created Meta: Muse Wonder?
Meta: Muse Wonder is developed by Meta and was released on October 12, 2026.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 14, 2026 8:38 pm