Meta, proprietary

# Muse Wonder

> Muse Wonder by Meta, released October 2026. Ranked #43 of 355 with a Noometry Index of 51.8. API: $4 in / $20 out per M tokens. 1.05M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/muse-wonder
- Last updated: 2026-10-14
- Title: Muse Wonder Benchmarks, Price & Rank (October 2026)

Muse Wonder by Meta ranks 43rd of 355 ranked models on the Noometry Index as of October 2026, with a score of 51.8. Its strongest category is multilingual, where it ranks 6th. API pricing starts at $4 per million input tokens and $20 per million output tokens, with a 1.05M-token context window.

Last verified October 14, 2026

## Specifications

- **Noometry rank:** #43 of 355
- **Index score:** 51.8
- **Evidence:** Confirmed 17 results
- **Provider:** [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta)
- **Released:** October 12, 2026
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 1.05M
- **Max output:** 131K
- **Input price:** $4 / M
- **Output price:** $20 / M
- **Blended price:** $8 / M
- **Output speed:** Not measured
- **Value:** #202 of 221
- **Knowledge cutoff:** Unknown
- **Input:** text, image, video, pdf, audio

## Category scores

Each category score combines every public result we have in that category.

Muse Wonder category scores

1.  Coding 56.3
2.  Agentic & Tool Use 35.3
3.  Reasoning 48.0
4.  Math 59.9
5.  Knowledge 42.7
6.  Multilingual 57.5
7.  Instruction Following 78.3
8.  Long Context 45.7
9.  Writing & Preference 68.6
10.  020406080

Muse Wonder category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 56.3 | #22 | 3 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 35.3 | #42 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 48.0 | #44 | 3 |
| [Math](https://noometry.com/best/math) | 59.9 | #39 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 42.7 | #98 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 57.5 | #6 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 78.3 | #11 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 45.7 | #30 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 68.6 | #26 | 3 |

## Strengths and weaknesses

Categories where Muse Wonder places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Muse Wonder: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multilingual](https://noometry.com/best/multilingual) | 57.5 | +10.3 | #6 of 298, top 3% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 78.3 | +7.1 | #11 of 306, top 4% |
| [Coding](https://noometry.com/best/coding) | 56.3 | +17.3 | #22 of 341, top 7% |

### Weakest categories

Muse Wonder: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 42.7 | +4.9 | #98 of 315, top 32% |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 35.3 | +4.5 | #42 of 156, top 27% |
| [Reasoning](https://noometry.com/best/reasoning) | 48.0 | +24.0 | #44 of 351, top 13% |

## Closest competitors

The models ranked just above and below Muse Wonder. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Muse Wonder
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | #39 | 53.3 | $0.20 | — | [Compare](https://noometry.com/compare/gpt-6-luna-vs-muse-wonder) |
| [GPT-5.2 Pro](https://noometry.com/models/gpt-5-2-pro) | #40 | 52.4 | $57.75 | — | [Compare](https://noometry.com/compare/gpt-5-2-pro-vs-muse-wonder) |
| [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | #41 | 52.4 | $1.13 | — | [Compare](https://noometry.com/compare/gemini-3-flash-preview-vs-muse-wonder) |
| [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | #42 | 51.9 | $0.24 | — | [Compare](https://noometry.com/compare/glm-5-3-flash-vs-muse-wonder) |
| [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) | #44 | 51.7 | $2.92 | — | [Compare](https://noometry.com/compare/muse-wonder-vs-qwen3-6-max-preview) |
| [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | #45 | 51.6 | $3.75 | — | [Compare](https://noometry.com/compare/muse-wonder-vs-qwen3-7-max) |
| [GLM-5.2](https://noometry.com/models/glm-5-2) | #46 | 51.2 | $2.15 | 23 | [Compare](https://noometry.com/compare/glm-5-2-vs-muse-wonder) |
| [GPT-5](https://noometry.com/models/gpt-5) | #47 | 50.9 | $3.44 | 2 | [Compare](https://noometry.com/compare/gpt-5-vs-muse-wonder) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Muse Wonder Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1651 | #12 of 114, top 11% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-13 |
| [SciCode](https://noometry.com/benchmarks/scicode) | 60.3% | #7 of 124, top 6% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1529 | #7 of 295, top 3% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-13 |

### Agentic & Tool Use

Muse Wonder Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GDP.pdf](https://noometry.com/benchmarks/gdp-pdf) | 30.8% | #4 of 39, top 11% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Vending-Bench 2](https://noometry.com/benchmarks/vending-bench-2) | 9,432 | #9 of 63, top 15% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Muse Wonder Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [CritPt](https://noometry.com/benchmarks/critpt) | 28.3% | #13 of 137, top 10% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [EBR-Bench](https://noometry.com/benchmarks/ebr-bench) | 31.4% | #11 of 26, top 43% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-12 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1515 | #6 of 298, top 3% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-13 |

### Math

Muse Wonder Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 84% | #11 of 80, top 14% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Knowledge

Muse Wonder Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1503 | #22 of 274, top 9% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-13 |

### Multilingual

Muse Wonder Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1490 | #6 of 298, top 3% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-13 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1521 | #3 of 284, top 2% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-13 |

### Instruction Following

Muse Wonder Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1497 | #8 of 299, top 3% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-13 |

### Long Context

Muse Wonder Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1492 | #12 of 292, top 5% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-13 |

### Writing & Preference

Muse Wonder Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1504 | #5 of 298, top 2% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-13 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1485 | #10 of 296, top 4% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-13 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1531 | #2 of 296, top 1% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-13 |

## API pricing by provider

Muse Wonder API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [meta](https://dev.meta.ai/docs) | $4 | $20 | $0.20 | 2026-10-14 |
| [openrouter](https://openrouter.ai/meta/muse-wonder) | $4 | $20 | $0.20 | 2026-10-14 |

[All Meta API prices →](https://noometry.com/llm-pricing/meta) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare Muse Wonder

-   [Muse Wonder vs GLM-5.3-Flash](https://noometry.com/compare/glm-5-3-flash-vs-muse-wonder)
-   [Muse Wonder vs Qwen3.6 Max Preview](https://noometry.com/compare/muse-wonder-vs-qwen3-6-max-preview)
-   [Muse Wonder vs Gemini 3 Flash Preview](https://noometry.com/compare/gemini-3-flash-preview-vs-muse-wonder)
-   [Muse Wonder vs Qwen3.7 Max](https://noometry.com/compare/muse-wonder-vs-qwen3-7-max)
-   [Muse Wonder vs GPT-5.2 Pro](https://noometry.com/compare/gpt-5-2-pro-vs-muse-wonder)
-   [Muse Wonder vs GLM-5.2](https://noometry.com/compare/glm-5-2-vs-muse-wonder)
-   [Muse Wonder vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-muse-wonder)
-   [Muse Wonder vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-muse-wonder)
-   [Muse Wonder vs Gemini 4 Argon](https://noometry.com/compare/gemini-4-argon-vs-muse-wonder)
-   [Muse Wonder vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-muse-wonder)
-   [Muse Wonder vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-muse-wonder)
-   [Muse Wonder vs Qwen3.8 Max](https://noometry.com/compare/muse-wonder-vs-qwen3-8-max)
-   [Muse Wonder vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-muse-wonder)
-   [Muse Wonder vs DeepSeek V4.1 Flash](https://noometry.com/compare/deepseek-v4-1-flash-vs-muse-wonder)

## Other Meta models

-   [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3)54.9
-   [Muse Spark](https://noometry.com/models/muse-spark)50.7
-   [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2)50.5
-   [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1)50.1
-   [Muse Glimmer](https://noometry.com/models/muse-glimmer)41.9
-   [Codellama 70b Instruct](https://noometry.com/models/codellama-70b-instruct)33.9
-   [Codellama 34b Instruct](https://noometry.com/models/codellama-34b-instruct)30.9
-   [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick)30.9

## Frequently asked questions

### How good is Muse Wonder?

Muse Wonder by Meta ranks 43rd of 355 ranked models on the Noometry Index as of October 2026, with a score of 51.8. Its strongest category is multilingual, where it ranks 6th. API pricing starts at $4 per million input tokens and $20 per million output tokens, with a 1.05M-token context window.

### How much does Muse Wonder cost?

Muse Wonder costs $4 per million input tokens and $20 per million output tokens on Meta's own API, with cached input at $0.20.

### What is Muse Wonder's context window?

Muse Wonder accepts up to 1.05M tokens of input and can write up to 131K tokens in one response.

### Is Muse Wonder open source?

No. Muse Wonder is proprietary and available only through Meta's API and partner platforms.

### What are Muse Wonder's strengths and weaknesses?

Relative to other ranked models, Muse Wonder places best in multilingual, instruction following, coding and lowest in knowledge, agentic & tool use, reasoning.

### What is Muse Wonder best at?

Its best category is multilingual, where it ranks 6th on Noometry.

### Cite this page

Noometry. (2026). Muse Wonder benchmarks and pricing. Retrieved October 14, 2026, from https://noometry.com/models/muse-wonder

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/muse-wonder.md).