Meta, proprietary

# Muse Spark 1.2

> Muse Spark 1.2 by Meta, released August 2026. Ranked #48 of 354 with a Noometry Index of 50.3. API: $1.25 in / $4.25 out per M tokens. 1.05M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/muse-spark-1-2
- Last updated: 2026-10-10
- Title: Muse Spark 1.2 Benchmarks, Price & Rank (October 2026)

Muse Spark 1.2 by Meta ranks 48th of 354 ranked models on the Noometry Index as of October 2026, with a score of 50.3. Its strongest category is multilingual, where it ranks 11th. API pricing starts at $1.25 per million input tokens and $4.25 per million output tokens, with a 1.05M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #48 of 354
- **Index score:** 50.3
- **Evidence:** Confirmed 31 results
- **Provider:** [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta)
- **Released:** August 5, 2026
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 1.05M
- **Max output:** 131K
- **Input price:** $1.25 / M
- **Output price:** $4.25 / M
- **Blended price:** $2 / M
- **Output speed:** Not measured
- **Value:** #143 of 219
- **Knowledge cutoff:** Unknown
- **Input:** text, image, video, pdf, audio

## Category scores

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

Muse Spark 1.2 category scores

1.  Coding 49.2
2.  Agentic & Tool Use 29.4
3.  Reasoning 51.3
4.  Math 46.4
5.  Knowledge 54.1
6.  Multimodal 43.4
7.  Multilingual 57.1
8.  Instruction Following 76.7
9.  Long Context 45.2
10.  Writing & Preference 72.3
11.  020406080

Muse Spark 1.2 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 49.2 | #51 | 6 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 29.4 | #87 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 51.3 | #34 | 6 |
| [Math](https://noometry.com/best/math) | 46.4 | #70 | 2 |
| [Knowledge](https://noometry.com/best/knowledge) | 54.1 | #53 | 2 |
| [Multimodal](https://noometry.com/best/multimodal) | 43.4 | #25 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 57.1 | #11 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 76.7 | #36 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 45.2 | #48 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 72.3 | #14 | 4 |

## Strengths and weaknesses

Categories where Muse Spark 1.2 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Muse Spark 1.2: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multilingual](https://noometry.com/best/multilingual) | 57.1 | +9.7 | #11 of 297, top 4% |
| [Writing & Preference](https://noometry.com/best/writing) | 72.3 | +18.5 | #14 of 312, top 5% |
| [Reasoning](https://noometry.com/best/reasoning) | 51.3 | +27.7 | #34 of 350, top 10% |

### Weakest categories

Muse Spark 1.2: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 29.4 | −0.9 | #87 of 154, top 57% |
| [Math](https://noometry.com/best/math) | 46.4 | +9.9 | #70 of 327, top 22% |
| [Multimodal](https://noometry.com/best/multimodal) | 43.4 | +4.8 | #25 of 128, top 20% |

## Closest competitors

The models ranked just above and below Muse Spark 1.2. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Muse Spark 1.2
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [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-1-2) |
| [GPT-5](https://noometry.com/models/gpt-5) | #45 | 50.9 | $3.44 | 2 | [Compare](https://noometry.com/compare/gpt-5-vs-muse-spark-1-2) |
| [Muse Spark](https://noometry.com/models/muse-spark) | #46 | 50.6 | — | — | [Compare](https://noometry.com/compare/muse-spark-vs-muse-spark-1-2) |
| [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-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-1-2) |
| [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-1-2) |
| [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | #51 | 49.9 | $2 | — | [Compare](https://noometry.com/compare/muse-spark-1-1-vs-muse-spark-1-2) |
| [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | #52 | 49.5 | $0.20 | — | [Compare](https://noometry.com/compare/claude-haiku-5-5-vs-muse-spark-1-2) |

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 1.2 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [DeepSWE](https://noometry.com/benchmarks/deepswe) | 54.9% | #19 of 29, top 66% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1533 | #39 of 113, top 35% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [FrontierSWE](https://noometry.com/benchmarks/frontierswe) | 12% | #17 of 18, top 95% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 56.4% | #22 of 121, top 19% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 60.3% | #33 of 119, top 28% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1495 | #26 of 294, top 9% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Agentic & Tool Use

Muse Spark 1.2 Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [APEX-Agents](https://noometry.com/benchmarks/apex-agents) | 36.4% | #40 of 49, top 82% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GDP.pdf](https://noometry.com/benchmarks/gdp-pdf) | 12% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GDP.pdf](https://noometry.com/benchmarks/gdp-pdf) | 16% | #26 of 36, top 73% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Muse Spark 1.2 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SimpleBench](https://noometry.com/benchmarks/simplebench) | 74.5% | #8 of 77, top 11% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 79.2% | #38 of 91, top 42% | high reasoning | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 17.7% | #32 of 134, top 24% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1486 | #20 of 297, top 7% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 94.7% | #20 of 151, top 14% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 48.4% | #26 of 125, top 21% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 154.87 | #32 of 213, top 16% |  | [Epoch AI](https://epoch.ai/eci) | 2026-08-05 |

### Math

Muse Spark 1.2 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 43% | #34 of 77, top 45% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1471 | #38 of 285, top 14% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Muse Spark 1.2 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 60.3% | #15 of 77, top 20% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1480 | #41 of 273, top 16% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Muse Spark 1.2 Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1305 | #14 of 122, top 12% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |

### Multilingual

Muse Spark 1.2 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1478 | #11 of 297, top 4% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1511 | #33 of 285, top 12% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1513 | #6 of 223, top 3% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1487 | #15 of 283, top 6% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1498 | #6 of 226, top 3% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Muse Spark 1.2 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1461 | #32 of 298, top 11% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Muse Spark 1.2 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1475 | #30 of 291, top 11% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Muse Spark 1.2 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1482 | #13 of 297, top 5% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1449 | #28 of 295, top 10% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1840 | #18 of 115, top 16% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1494 | #8 of 295, top 3% | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Muse Spark 1.2 API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [meta](https://dev.meta.ai/docs) | $1.25 | $4.25 | $0.15 | 2026-10-10 |
| [openrouter](https://openrouter.ai/meta/muse-spark-1.2) | $1.25 | $4.25 | $0.15 | 2026-10-10 |

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

## Compare Muse Spark 1.2

-   [Muse Spark 1.2 vs Muse Spark](https://noometry.com/compare/muse-spark-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs Claude Opus 4.5](https://noometry.com/compare/claude-opus-4-5-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs MiMo-V2.6-Pro](https://noometry.com/compare/mimo-v2-6-pro-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs Claude Sonnet 4.6](https://noometry.com/compare/claude-sonnet-4-6-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs GPT-5](https://noometry.com/compare/gpt-5-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs Muse Spark 1.1](https://noometry.com/compare/muse-spark-1-1-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs Qwen3.8 Max](https://noometry.com/compare/muse-spark-1-2-vs-qwen3-8-max)
-   [Muse Spark 1.2 vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-muse-spark-1-2)
-   [Muse Spark 1.2 vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-muse-spark-1-2)

## Other Meta models

-   [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3)54.8
-   [Muse Spark](https://noometry.com/models/muse-spark)50.6
-   [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 1.2?

Muse Spark 1.2 by Meta ranks 48th of 354 ranked models on the Noometry Index as of October 2026, with a score of 50.3. Its strongest category is multilingual, where it ranks 11th. API pricing starts at $1.25 per million input tokens and $4.25 per million output tokens, with a 1.05M-token context window.

### How much does Muse Spark 1.2 cost?

Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens on Meta's own API, with cached input at $0.15.

### What is Muse Spark 1.2's context window?

Muse Spark 1.2 accepts up to 1.05M tokens of input and can write up to 131K tokens in one response.

### Is Muse Spark 1.2 open source?

No. Muse Spark 1.2 is proprietary and available only through Meta's API and partner platforms.

### What are Muse Spark 1.2's strengths and weaknesses?

Relative to other ranked models, Muse Spark 1.2 places best in multilingual, writing & preference, reasoning and lowest in agentic & tool use, math, multimodal.

### What is Muse Spark 1.2 best at?

Its best category is multilingual, where it ranks 11th on Noometry.

### Cite this page

Noometry. (2026). Muse Spark 1.2 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/muse-spark-1-2

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/muse-spark-1-2.md).