Model comparison
Mistral vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AI
MetaSummary
- They share 17 benchmarks with published results for both. Mistral scores higher in 0 categories and Muse Spark 1.3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 22.3.
Side by side
| Mistral | Muse Spark 1.3 | |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 29.9 | 54.8 |
| Released | — | 2026-09-02 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $4.25 |
| Results tracked | 22 | 37 |
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Category by category
Coding Muse Spark 1.3 leads
Mistral: 33.8 (#250), Muse Spark 1.3: 56.6 (#21)
| Benchmark | Mistral | Muse Spark 1.3 |
|---|---|---|
| LMArena Coding | 1162 | 1514 |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
Agentic & Tool Use Not comparable
Mistral: —, Muse Spark 1.3: 38.6 (#30)
| Benchmark | Mistral | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
Mistral: 22.2 (#200), Muse Spark 1.3: 54.0 (#27)
| Benchmark | Mistral | Muse Spark 1.3 |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1503 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 26% |
| Chess Puzzles | — | 38% |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
| Epoch Capabilities Index | — | 156.75 |
Math Muse Spark 1.3 leads
Mistral: 22.3 (#278), Muse Spark 1.3: 73.1 (#21)
| Benchmark | Mistral | Muse Spark 1.3 |
|---|---|---|
| LMArena Math | 1180 | 1494 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 99.2% |
| ProofBench | — | 58% |
| Omni-MATH | 7.2% | — |
Knowledge Muse Spark 1.3 leads
Mistral: 16.6 (#288), Muse Spark 1.3: 42.6 (#95)
| Benchmark | Mistral | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1125 | 1516 |
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
Multimodal Not comparable
Mistral: —, Muse Spark 1.3: 43.7 (#22)
| Benchmark | Mistral | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1309 |
| LMArena Document | — | 1471 |
Multilingual Muse Spark 1.3 leads
Mistral: 32.8 (#254), Muse Spark 1.3: 57.4 (#8)
| Benchmark | Mistral | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1129 | 1481 |
| LMArena Chinese | 1109 | 1529 |
| LMArena French | 1180 | 1524 |
| LMArena German | 1155 | 1515 |
| LMArena Japanese | 1013 | 1474 |
| LMArena Korean | 1032 | 1501 |
| LMArena Russian | 1168 | 1490 |
| LMArena Spanish | 1143 | 1490 |
Instruction Following Muse Spark 1.3 leads
Mistral: 52.6 (#288), Muse Spark 1.3: 77.5 (#22)
| Benchmark | Mistral | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1152 | 1477 |
| IFEval | 56.8% | — |
Long Context Muse Spark 1.3 leads
Mistral: 35.0 (#245), Muse Spark 1.3: 45.6 (#32)
| Benchmark | Mistral | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1153 | 1488 |
Writing & Preference Muse Spark 1.3 leads
Mistral: 37.0 (#260), Muse Spark 1.3: 73.6 (#9)
| Benchmark | Mistral | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1165 | 1490 |
| LMArena Creative Writing | 1158 | 1455 |
| LMArena Multi-Turn | 1147 | 1482 |
| EQ-Bench Creative Writing | — | 1906 |
| WildBench | 66% | — |
Frequently asked questions
Is Mistral better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 29.9 on the Noometry Index.
Is Mistral or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 33.8 in the Noometry coding category.
How many benchmarks do Mistral and Muse Spark 1.3 share?
17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Muse Spark 1.3 has 37.