Meta, proprietary

# Muse Spark 1.3

> Muse Spark 1.3 by Meta, released September 2026. Ranked #27 of 354 with a Noometry Index of 54.8. 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-1-3
- Last updated: 2026-10-10
- Title: Muse Spark 1.3 Benchmarks, Price & Rank (October 2026)

Muse Spark 1.3 by Meta ranks 27th of 354 ranked models on the Noometry Index as of October 2026, with a score of 54.8. Its strongest category is multilingual, where it ranks 8th. 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:** #27 of 354
- **Index score:** 54.8
- **Evidence:** Confirmed 37 results
- **Provider:** [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta)
- **Released:** September 2, 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:** #139 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 1.3 category scores

1.  Coding 56.6
2.  Agentic & Tool Use 38.6
3.  Reasoning 54.0
4.  Math 73.1
5.  Knowledge 42.6
6.  Multimodal 43.7
7.  Multilingual 57.4
8.  Instruction Following 77.5
9.  Long Context 45.6
10.  Writing & Preference 73.6
11.  020406080

Muse Spark 1.3 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 56.6 | #21 | 4 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 38.6 | #30 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 54.0 | #27 | 7 |
| [Math](https://noometry.com/best/math) | 73.1 | #21 | 5 |
| [Knowledge](https://noometry.com/best/knowledge) | 42.6 | #95 | 1 |
| [Multimodal](https://noometry.com/best/multimodal) | 43.7 | #22 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 57.4 | #8 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 77.5 | #22 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 45.6 | #32 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 73.6 | #9 | 4 |

## Strengths and weaknesses

Categories where Muse Spark 1.3 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Muse Spark 1.3: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multilingual](https://noometry.com/best/multilingual) | 57.4 | +10.0 | #8 of 297, top 3% |
| [Writing & Preference](https://noometry.com/best/writing) | 73.6 | +19.8 | #9 of 312, top 3% |
| [Coding](https://noometry.com/best/coding) | 56.6 | +17.9 | #21 of 340, top 7% |

### Weakest categories

Muse Spark 1.3: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 42.6 | +5.3 | #95 of 314, top 31% |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 38.6 | +8.3 | #30 of 154, top 20% |
| [Multimodal](https://noometry.com/best/multimodal) | 43.7 | +5.1 | #22 of 128, top 18% |

## Closest competitors

The models ranked just above and below Muse Spark 1.3. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Muse Spark 1.3
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | #23 | 56.7 | $4.50 | — | [Compare](https://noometry.com/compare/gemini-3-1-pro-preview-vs-muse-spark-1-3) |
| [Gemini 4 Argon](https://noometry.com/models/gemini-4-argon) | #24 | 56.5 | — | — | [Compare](https://noometry.com/compare/gemini-4-argon-vs-muse-spark-1-3) |
| [Grok 4.5](https://noometry.com/models/grok-4-5) | #25 | 55.0 | $3 | 4 | [Compare](https://noometry.com/compare/grok-4-5-vs-muse-spark-1-3) |
| [GLM-5.3](https://noometry.com/models/glm-5-3) | #26 | 54.8 | $2.15 | — | [Compare](https://noometry.com/compare/glm-5-3-vs-muse-spark-1-3) |
| [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) | #28 | 54.8 | — | 1 | [Compare](https://noometry.com/compare/gemini-3-pro-vs-muse-spark-1-3) |
| [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | #29 | 54.6 | $4 | — | [Compare](https://noometry.com/compare/claude-sonnet-5-vs-muse-spark-1-3) |
| [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | #30 | 54.6 | $0.45 | 12 | [Compare](https://noometry.com/compare/gpt-5-6-luna-vs-muse-spark-1-3) |
| [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | #31 | 54.3 | $0.99 | 16 | [Compare](https://noometry.com/compare/deepseek-v4-pro-vs-muse-spark-1-3) |

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 1.3 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 33.4% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 29.3% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 41.6% | #8 of 14, top 58% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 32.6% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 24.3% |  | minimal | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 37.5% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1657 | #10 of 113, top 9% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1626 |  | muse-spark-1.3 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [SciCode](https://noometry.com/benchmarks/scicode) | 58.8% |  | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 59.7% | #8 of 121, top 7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1514 | #9 of 294, top 4% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Agentic & Tool Use

Muse Spark 1.3 Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [APEX-Agents](https://noometry.com/benchmarks/apex-agents) | 57.8% | #15 of 49, top 31% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GDP.pdf](https://noometry.com/benchmarks/gdp-pdf) | 27.6% | #7 of 36, top 20% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GDP.pdf](https://noometry.com/benchmarks/gdp-pdf) | 27.6% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Muse Spark 1.3 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 85.1% | #28 of 91, top 31% | high reasoning | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 24.9% |  | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 26% | #16 of 134, top 12% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 38% | #25 of 129, top 20% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-18 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 35% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-16 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1503 | #10 of 297, top 4% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 25% | #34 of 74, top 46% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-18 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 14.1% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-16 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 96.5% | #11 of 151, top 8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 53.9% | #14 of 125, top 12% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Bench to the Future 3](https://noometry.com/benchmarks/btf-3) | 0.14 | #5 of 10, top 50% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 156.75 | #19 of 213, top 9% |  | [Epoch AI](https://epoch.ai/eci) | 2026-09-02 |

### Math

Muse Spark 1.3 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 74% |  | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-18 |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 74.4% | #20 of 81, top 25% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-16 |
| [FrontierMath Tier 4](https://noometry.com/benchmarks/frontiermath-tier-4) | 46.3% | #20 of 63, top 32% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-18 |
| [FrontierMath Tier 4](https://noometry.com/benchmarks/frontiermath-tier-4) | 41.5% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-16 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 99.2% | #14 of 173, top 9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-17 |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 55% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 58% | #21 of 77, top 28% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1494 | #16 of 285, top 6% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Muse Spark 1.3 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1516 | #13 of 273, top 5% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Muse Spark 1.3 Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1309 | #11 of 122, top 10% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1301 |  | muse-spark-1.3 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [LMArena Document](https://noometry.com/benchmarks/arena-document) | 1471 | #12 of 38, top 32% |  | [LMArena](https://lmarena.ai/leaderboard/document) | 2026-09-13 |

### Multilingual

Muse Spark 1.3 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1481 | #8 of 297, top 3% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1529 | #16 of 285, top 6% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1524 | #2 of 223, top 1% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1515 | #3 of 231, top 2% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1474 | #16 of 211, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1501 | #3 of 213, top 2% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1490 | #13 of 283, top 5% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1490 | #11 of 226, top 5% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Muse Spark 1.3 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1477 | #19 of 298, top 7% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Muse Spark 1.3 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1488 | #14 of 291, top 5% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Muse Spark 1.3 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1490 | #10 of 297, top 4% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1455 | #23 of 295, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1906 | #14 of 115, top 13% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1482 | #16 of 295, top 6% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Muse Spark 1.3 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-1.3) | $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 1.3

-   [Muse Spark 1.3 vs Muse Spark 1.2](https://noometry.com/compare/muse-spark-1-2-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs Gemini 3 Pro](https://noometry.com/compare/gemini-3-pro-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs Grok 4.5](https://noometry.com/compare/grok-4-5-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs Claude Sonnet 5](https://noometry.com/compare/claude-sonnet-5-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs Gemini 4 Argon](https://noometry.com/compare/gemini-4-argon-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs GPT-5.6 Luna](https://noometry.com/compare/gpt-5-6-luna-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-muse-spark-1-3)
-   [Muse Spark 1.3 vs Qwen3.8 Max](https://noometry.com/compare/muse-spark-1-3-vs-qwen3-8-max)
-   [Muse Spark 1.3 vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-muse-spark-1-3)

## Other Meta models

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

Muse Spark 1.3 by Meta ranks 27th of 354 ranked models on the Noometry Index as of October 2026, with a score of 54.8. Its strongest category is multilingual, where it ranks 8th. 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 1.3 cost?

Muse Spark 1.3 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 1.3's context window?

Muse Spark 1.3 accepts up to 1.05M tokens of input and can write up to 131K tokens in one response.

### Is Muse Spark 1.3 open source?

No. Muse Spark 1.3 is proprietary and available only through Meta's API and partner platforms.

### What are Muse Spark 1.3's strengths and weaknesses?

Relative to other ranked models, Muse Spark 1.3 places best in multilingual, writing & preference, coding and lowest in knowledge, agentic & tool use, multimodal.

### What is Muse Spark 1.3 best at?

Its best category is multilingual, where it ranks 8th on Noometry.

### Cite this page

Noometry. (2026). Muse Spark 1.3 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/muse-spark-1-3

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/muse-spark-1-3.md).