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Meta · Meta
Muse Wonder.
Muse Wonder is a Meta model, released on 12 October 2026. It takes text, images, video, files and audio and returns text, with a 1.05 million-token context window. Artificial Analysis scores it 43.3 on its Intelligence Index, the highest of 3 rated Meta models.
- Hosted API
- 1.05M context
Specification
- Provider
- Meta
- Family
- Meta
- Released
- 12 October 2026
- Catalogue id
- meta/muse-wonder
- Context window
- 1.05 million tokens
- Maximum output
- 943,718 tokens
- Inputs and output
- Text, images, video, files and audio in; text out
- Capabilities
- Tool calling, structured outputs and adjustable reasoning
- Weights
- Not published — hosted API
- Listed price
- $4.00 input, $20.00 output, $0.200 cached input per million tokens
Provider-published specifications as of 30 October 2026, not figures we measured. Model families move quickly — check the provider's own documentation before committing to a number.
Source: Muse Wonder in the OpenRouter catalogue, checked weekly. Confirm current terms in Meta's own documentation before you commit.
INDEPENDENT RATINGS
How Muse Wonder scores.
Measured by Artificial Analysis on its own evaluation suite, at every reasoning setting it tested.
Artificial Analysis Intelligence Index · Higher is better · Linear scale from 0 to 48.0
- Muse Wonder
- 43.3
- Muse Spark 1.3
- 36.4
- Muse Spark Open
- 24.7
Each model at its best reasoning setting. The index combines reasoning, knowledge, maths and coding evaluations; it does not show cost, latency or data residency.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the provider.
Artificial Analysis Intelligence Index · Higher is better · Linear scale from 0 to 66.0
- Gemini 4 Carbon
- 59.4
- Claude Opus 5.5
- 58.4
- GPT-6 Astra
- 56.9
- Kimi K3.1 Pro
- 46.0
- Muse Wonder
- 43.3
The highest-rated model of each other family we cover, at its best reasoning setting.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the providers.
BENCHMARKS
Benchmark by benchmark.
Score (%) at its best reasoning setting · Higher is better · Linear scale from 0 to 100.0
- Humanity's Last Exam
- 50.1
- SciCode
- 60.3
- Terminal-Bench 4.0 (agentic coding)
- 52.0
- AA-LCR (long-context reasoning)
- 80.7
Each evaluation run by Artificial Analysis under its published methodology. Scores on public benchmarks can overstate performance on your own data.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the provider.
What it costs
Price the whole answer.
Illustrative calculation at listed rates: a batch of 10 million input tokens and 1 million output tokens costs $60.00 on Muse Wonder. A thousand requests of 2,000 input and 500 output tokens each costs $18.00. Calculation: input millions × input rate + output millions × output rate; it excludes reasoning tokens, retries, tools, tax and review time.
Compare cost per accepted result, not per token: replay the same work on two or three candidates and count the answers you would actually ship. Our model-routing approach sends each request to the cheapest model that passes.
THE REST OF THE FAMILY
Other Meta models.
Every Meta model in the catalogue. Our Meta page covers where the family fits and how we evaluate it.
| Muse Wonder | 12 Oct 2026 | 43.3 | 150 | 1.05M | $4.00 | $20.00 |
|---|---|---|---|---|---|---|
| Muse Spark Open open | 15 Oct 2026 | 24.7 | 140 | 1.05M | $1.25 | $4.25 |
| Muse Spark 1.3 | 2 Sep 2026 | 36.4 | — | 1.05M | $1.25 | $4.25 |
| Muse Glimmer 30B open | 9 Aug 2026 | — | — | 131k | $0.300 | $1.20 |
| Muse Spark 1.2 | 5 Aug 2026 | — | — | 1.05M | $1.25 | $4.25 |
| Muse Spark 1.1 | 9 Jul 2026 | — | — | 1.05M | $1.25 | $4.25 |
| Llama 4 Maverick open | 5 Apr 2025 | — | 49 | 524k | $0.188 | $0.653 |
| Llama 4 Scout open | 5 Apr 2025 | — | 135 | 1.31M | $0.100 | $0.300 |
| Llama 3.3 70B Instruct open | 6 Dec 2024 | — | — | 131k | $0.100 | $0.320 |
| Llama 3.2 1B Instruct open | 25 Sep 2024 | — | — | 60k | $0.027 | $0.201 |
| Llama 3.2 3B Instruct open | 25 Sep 2024 | — | — | 131k | $0.050 | $0.330 |
| Llama 3.1 70B Instruct open | 23 Jul 2024 | — | — | 131k | $0.400 | $0.400 |
| Llama 3.1 8B Instruct open | 23 Jul 2024 | — | — | 131k | $0.050 | $0.080 |
Intelligence and coding: Artificial Analysis indices at the model's best reasoning setting, and its measured output speed. Context and prices: the OpenRouter catalogue list price in USD per million tokens. Released: the provider's date where Artificial Analysis records one, otherwise the date the catalogue first listed it. Refreshed weekly; not measured by QQuantum.ai. Select a heading to sort.
Questions
Questions about Muse Wonder.
When was Muse Wonder released?
Muse Wonder was released on 12 October 2026, according to Artificial Analysis.
What is the context window of Muse Wonder?
1.05 million tokens, with up to 943,718 output tokens per response, as listed in the OpenRouter catalogue on 30 October 2026. A long window is not the same as reliable recall across it; evaluate retrieval on your own documents.
How much does Muse Wonder cost?
The catalogue lists $4.00 per million input tokens and $20.00 per million output tokens, and $0.200 per million cached input tokens (checked 30 October 2026). Meta's own rates, batch discounts and cloud marketplaces can differ.
How does Muse Wonder rate against other Meta models?
Artificial Analysis gives it 43.3 on its Intelligence Index at its best reasoning setting, the highest of the 3 Meta models it rates. A composite score is a shortlist tool; your own task decides.
Can Muse Wonder run on our own hardware?
The catalogue lists no published weights for it, so it is used as a hosted API. Where data may not leave your infrastructure, an open-weight model is the alternative.
