Meta, proprietary

# Muse Spark

> Muse Spark by Meta, released April 2026. Ranked #46 of 354 with a Noometry Index of 50.6. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/muse-spark
- Last updated: 2026-10-10
- Title: Muse Spark Benchmarks, Price & Rank (October 2026)

Muse Spark by Meta ranks 46th of 354 ranked models on the Noometry Index as of October 2026, with a score of 50.6. Its strongest category is knowledge, where it ranks 13th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #46 of 354
- **Index score:** 50.6
- **Evidence:** Confirmed 27 results
- **Provider:** [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta)
- **Released:** April 8, 2026
- **Weights:** Proprietary
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

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

Muse Spark category scores

1.  Coding 46.2
2.  Reasoning 35.9
3.  Math 47.8
4.  Knowledge 65.7
5.  Multimodal 43.4
6.  Multilingual 56.1
7.  Instruction Following 75.9
8.  Long Context 44.4
9.  Writing & Preference 66.0
10.  020406080

Muse Spark category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 46.2 | #69 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 35.9 | #67 | 2 |
| [Math](https://noometry.com/best/math) | 47.8 | #66 | 3 |
| [Knowledge](https://noometry.com/best/knowledge) | 65.7 | #13 | 3 |
| [Multimodal](https://noometry.com/best/multimodal) | 43.4 | #24 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 56.1 | #24 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 75.9 | #51 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 44.4 | #69 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 66.0 | #39 | 3 |

## Strengths and weaknesses

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

### Strongest categories

Muse Spark: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 65.7 | +28.4 | #13 of 314, top 5% |
| [Multilingual](https://noometry.com/best/multilingual) | 56.1 | +8.7 | #24 of 297, top 9% |
| [Writing & Preference](https://noometry.com/best/writing) | 66.0 | +12.2 | #39 of 312, top 13% |

### Weakest categories

Muse Spark: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Long Context](https://noometry.com/best/long-context) | 44.4 | +3.4 | #69 of 296, top 24% |
| [Coding](https://noometry.com/best/coding) | 46.2 | +7.5 | #69 of 340, top 21% |
| [Math](https://noometry.com/best/math) | 47.8 | +11.2 | #66 of 327, top 21% |

## Closest competitors

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

Models ranked closest to Muse Spark
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | #42 | 51.5 | $3.75 | — | [Compare](https://noometry.com/compare/muse-spark-vs-qwen3-7-max) |
| [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) | #43 | 51.5 | $2.92 | — | [Compare](https://noometry.com/compare/muse-spark-vs-qwen3-6-max-preview) |
| [GLM-5.2](https://noometry.com/models/glm-5-2) | #44 | 51.1 | $2.15 | 23 | [Compare](https://noometry.com/compare/glm-5-2-vs-muse-spark) |
| [GPT-5](https://noometry.com/models/gpt-5) | #45 | 50.9 | $3.44 | 2 | [Compare](https://noometry.com/compare/gpt-5-vs-muse-spark) |
| [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | #47 | 50.5 | $10 | 13 | [Compare](https://noometry.com/compare/claude-opus-4-5-vs-muse-spark) |
| [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | #48 | 50.3 | $2 | — | [Compare](https://noometry.com/compare/muse-spark-vs-muse-spark-1-2) |
| [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | #49 | 50.3 | $0.54 | — | [Compare](https://noometry.com/compare/mimo-v2-6-pro-vs-muse-spark) |
| [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | #50 | 50.3 | $6 | — | [Compare](https://noometry.com/compare/claude-sonnet-4-6-vs-muse-spark) |

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 Spark Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SciCode](https://noometry.com/benchmarks/scicode) | 51.5% | #38 of 121, top 32% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1481 | #46 of 294, top 16% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

Muse Spark Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [CritPt](https://noometry.com/benchmarks/critpt) | 11.3% | #45 of 134, top 34% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1474 | #36 of 297, top 13% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 152.04 | #44 of 213, top 21% |  | [Epoch AI](https://epoch.ai/eci) | 2026-04-08 |

### Math

Muse Spark Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 88.9% | #53 of 173, top 31% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-08 |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 17% | #53 of 77, top 69% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1455 | #58 of 285, top 21% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [FrontierMath (Feb 2025 set)](https://noometry.com/benchmarks/frontiermath-2025-02) | 39% | #9 of 68, top 14% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-08 |
| [FrontierMath Tier 4 (v1)](https://noometry.com/benchmarks/frontiermath-tier-4-v1) | 14.6% | #14 of 55, top 26% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-08 |

### Knowledge

Muse Spark Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 89.8% | #41 of 186, top 23% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-08 |
| [Humanity's Last Exam](https://noometry.com/benchmarks/hle) | 40.6% | #6 of 41, top 15% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1457 | #64 of 273, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Muse Spark Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1306 | #12 of 122, top 10% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [LMArena Document](https://noometry.com/benchmarks/arena-document) | 1444 | #24 of 38, top 64% |  | [LMArena](https://lmarena.ai/leaderboard/document) | 2026-09-13 |

### Multilingual

Muse Spark Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1464 | #24 of 297, top 9% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1509 | #38 of 285, top 14% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1497 | #14 of 223, top 7% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1497 | #8 of 231, top 4% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1459 | #11 of 213, top 6% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1466 | #29 of 283, top 11% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1472 | #21 of 226, top 10% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Muse Spark Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1442 | #48 of 298, top 17% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Muse Spark Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1451 | #52 of 291, top 18% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Muse Spark Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1474 | #21 of 297, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1459 | #19 of 295, top 7% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1477 | #22 of 295, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare Muse Spark

-   [Muse Spark vs GPT-5](https://noometry.com/compare/gpt-5-vs-muse-spark)
-   [Muse Spark vs Claude Opus 4.5](https://noometry.com/compare/claude-opus-4-5-vs-muse-spark)
-   [Muse Spark vs GLM-5.2](https://noometry.com/compare/glm-5-2-vs-muse-spark)
-   [Muse Spark vs Muse Spark 1.2](https://noometry.com/compare/muse-spark-vs-muse-spark-1-2)
-   [Muse Spark vs Qwen3.6 Max Preview](https://noometry.com/compare/muse-spark-vs-qwen3-6-max-preview)
-   [Muse Spark vs MiMo-V2.6-Pro](https://noometry.com/compare/mimo-v2-6-pro-vs-muse-spark)
-   [Muse Spark vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-muse-spark)
-   [Muse Spark vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-muse-spark)
-   [Muse Spark vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-muse-spark)
-   [Muse Spark vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-muse-spark)
-   [Muse Spark vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-muse-spark)
-   [Muse Spark vs Qwen3.8 Max](https://noometry.com/compare/muse-spark-vs-qwen3-8-max)
-   [Muse Spark vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-muse-spark)
-   [Muse Spark vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-muse-spark)

## Other Meta models

-   [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3)54.8
-   [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2)50.3
-   [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1)49.9
-   [Muse Glimmer](https://noometry.com/models/muse-glimmer)41.7
-   [Codellama 70b Instruct](https://noometry.com/models/codellama-70b-instruct)33.7
-   [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick)30.9
-   [Codellama 34b Instruct](https://noometry.com/models/codellama-34b-instruct)30.8
-   [Llama 3.1-405B](https://noometry.com/models/llama-3-1-405b)30.7

## Frequently asked questions

### How good is Muse Spark?

Muse Spark by Meta ranks 46th of 354 ranked models on the Noometry Index as of October 2026, with a score of 50.6. Its strongest category is knowledge, where it ranks 13th.

### Is Muse Spark open source?

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

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

Relative to other ranked models, Muse Spark places best in knowledge, multilingual, writing & preference and lowest in long context, coding, math.

### What is Muse Spark best at?

Its best category is knowledge, where it ranks 13th on Noometry.

### Cite this page

Noometry. (2026). Muse Spark benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/muse-spark

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