# Mistral Large vs Muse Spark

> Muse Spark is the stronger model overall, scoring 50.3 to 31.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-large-vs-muse-spark
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Mistral Large scores higher in 0 categories and Muse Spark in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 30.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 8.5% for Mistral Large and 88.9% for Muse Spark.
- Mistral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Large | Muse Spark |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 31.6 | 50.3 |
| Rank | 258 | 41 |
| Context | 131K | — |
| Input $/M | $2 | — |
| Output $/M | $6 | — |
| Weights | Open | Proprietary |

## Coding

- Mistral Large: 33.8 (#240)
- Muse Spark: 45.6 (#65)

| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| SciCode | 36.2% | 51.5% |
| LMArena Coding | 1277 | 1482 |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |

## Agentic & Tool Use

- Mistral Large: 28.4 (#83)
- Muse Spark: —

| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |

## Reasoning

- Mistral Large: 15.4 (#305)
- Muse Spark: 34.9 (#61)

| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| CritPt | 0% | 11.3% |
| LMArena Hard Prompts | 1257 | 1475 |
| Epoch Capabilities Index | 128.52 | 152.09 |
| SimpleBench | 22.5% | — |
| LiveBench Reasoning | 43.5% | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |

## Math

- Mistral Large: 17.1 (#285)
- Muse Spark: 46.8 (#57)

| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 88.9% |
| LMArena Math | 1262 | 1455 |
| FrontierMath (Feb 2025 set) | 0.3% | 39% |
| ProofBench | — | 17% |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- Mistral Large: 30.0 (#224)
- Muse Spark: 65.7 (#12)

| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| GPQA Diamond | 51.3% | 89.8% |
| LMArena Expert | 1232 | 1458 |
| Humanity's Last Exam | — | 40.6% |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| MMLU | 80% | — |

## Multimodal

- Mistral Large: —
- Muse Spark: 42.7 (#23)

| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |

## Multilingual

- Mistral Large: 40.1 (#214)
- Muse Spark: 56.3 (#23)

| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| LMArena Non-English | 1237 | 1464 |
| LMArena Chinese | 1240 | 1507 |
| LMArena French | 1324 | 1497 |
| LMArena German | 1254 | 1497 |
| LMArena Korean | 1202 | 1457 |
| LMArena Russian | 1257 | 1467 |
| LMArena Spanish | 1268 | 1471 |
| LMArena Japanese | 1187 | — |

## Instruction Following

- Mistral Large: 68.1 (#186)
- Muse Spark: 76.1 (#47)

| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1249 | 1443 |
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |

## Long Context

- Mistral Large: 38.3 (#194)
- Muse Spark: 44.4 (#65)

| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1262 | 1451 |

## Writing & Preference

- Mistral Large: 40.9 (#237)
- Muse Spark: 66.2 (#37)

| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| LMArena Text | 1266 | 1474 |
| LMArena Creative Writing | 1243 | 1460 |
| LMArena Multi-Turn | 1260 | 1477 |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LiveBench Language | 39.4% | — |

## FAQ

### Is Mistral Large better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.3 to 31.6 on the Noometry Index.

### Is Mistral Large or Muse Spark better for coding?

Muse Spark scores higher on coding benchmarks: 45.6 versus 33.8 in the Noometry coding category.

### How many benchmarks do Mistral Large and Muse Spark share?

22 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Muse Spark has 27.