Model comparison
Mistral Large vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 31.9 on the Noometry Index.
Last verified . 22 shared benchmarks.
Mistral AI
MetaSummary
- 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 30.1.
- 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.
Side by side
| Mistral Large | Muse Spark | |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 31.9 | 50.6 |
| Released | 2024-02-26 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 51 | 27 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark leads
Mistral Large: 34.3 (#240), Muse Spark: 46.2 (#69)
| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| SciCode | 36.2% | 51.5% |
| LMArena Coding | 1277 | 1481 |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Not comparable
Mistral Large: 28.6 (#89), Muse Spark: —
| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Muse Spark leads
Mistral Large: 15.8 (#310), Muse Spark: 35.9 (#67)
| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| CritPt | 0% | 11.3% |
| LMArena Hard Prompts | 1257 | 1474 |
| Epoch Capabilities Index | 128.52 | 152.04 |
| 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 Muse Spark leads
Mistral Large: 18.2 (#291), Muse Spark: 47.8 (#66)
| 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 Muse Spark leads
Mistral Large: 30.1 (#230), Muse Spark: 65.7 (#13)
| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| GPQA Diamond | 51.3% | 89.8% |
| LMArena Expert | 1232 | 1457 |
| 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 Not comparable
Mistral Large: —, Muse Spark: 43.4 (#24)
| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
Mistral Large: 40.0 (#219), Muse Spark: 56.1 (#24)
| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| LMArena Non-English | 1237 | 1464 |
| LMArena Chinese | 1240 | 1509 |
| LMArena French | 1325 | 1497 |
| LMArena German | 1254 | 1497 |
| LMArena Korean | 1202 | 1459 |
| LMArena Russian | 1257 | 1466 |
| LMArena Spanish | 1268 | 1472 |
| LMArena Japanese | 1188 | — |
Instruction Following Muse Spark leads
Mistral Large: 67.9 (#191), Muse Spark: 75.9 (#51)
| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1249 | 1442 |
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
Long Context Muse Spark leads
Mistral Large: 38.3 (#199), Muse Spark: 44.4 (#69)
| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1261 | 1451 |
Writing & Preference Muse Spark leads
Mistral Large: 40.7 (#242), Muse Spark: 66.0 (#39)
| Benchmark | Mistral Large | Muse Spark |
|---|---|---|
| LMArena Text | 1266 | 1474 |
| LMArena Creative Writing | 1243 | 1459 |
| LMArena Multi-Turn | 1260 | 1477 |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 31.9 on the Noometry Index.
Is Mistral Large or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 34.3 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.