Model comparison
Codestral vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 30.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
MetaSummary
- The widest gap is in coding, where Muse Spark leads 46.2 to 27.3.
Side by side
| Codestral | Muse Spark | |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 30.6 | 50.6 |
| Released | 2024-05-29 | 2026-04-08 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 27 |
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Category by category
Coding Muse Spark leads
Codestral: 27.3 (#321), Muse Spark: 46.2 (#69)
| Benchmark | Codestral | Muse Spark |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| SciCode | — | 51.5% |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1481 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning Muse Spark leads
Codestral: 19.8 (#251), Muse Spark: 35.9 (#67)
| Benchmark | Codestral | Muse Spark |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| CritPt | — | 11.3% |
| LMArena Hard Prompts | — | 1474 |
| Epoch Capabilities Index | — | 152.04 |
Math Not comparable
Codestral: —, Muse Spark: 47.8 (#66)
| Benchmark | Codestral | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 17% |
| LMArena Math | — | 1455 |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Not comparable
Codestral: —, Muse Spark: 65.7 (#13)
| Benchmark | Codestral | Muse Spark |
|---|---|---|
| GPQA Diamond | — | 89.8% |
| Humanity's Last Exam | — | 40.6% |
| LMArena Expert | — | 1457 |
Multimodal Not comparable
Codestral: —, Muse Spark: 43.4 (#24)
| Benchmark | Codestral | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Not comparable
Codestral: —, Muse Spark: 56.1 (#24)
| Benchmark | Codestral | Muse Spark |
|---|---|---|
| LMArena Non-English | — | 1464 |
| LMArena Chinese | — | 1509 |
| LMArena French | — | 1497 |
| LMArena German | — | 1497 |
| LMArena Korean | — | 1459 |
| LMArena Russian | — | 1466 |
| LMArena Spanish | — | 1472 |
Instruction Following Not comparable
Codestral: —, Muse Spark: 75.9 (#51)
| Benchmark | Codestral | Muse Spark |
|---|---|---|
| LMArena Instruction Following | — | 1442 |
Long Context Not comparable
Codestral: —, Muse Spark: 44.4 (#69)
| Benchmark | Codestral | Muse Spark |
|---|---|---|
| LMArena Longer Query | — | 1451 |
Writing & Preference Not comparable
Codestral: —, Muse Spark: 66.0 (#39)
| Benchmark | Codestral | Muse Spark |
|---|---|---|
| LMArena Text | — | 1474 |
| LMArena Creative Writing | — | 1459 |
| LMArena Multi-Turn | — | 1477 |
Frequently asked questions
Is Codestral better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 30.6 on the Noometry Index.
Is Codestral or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and Muse Spark share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Muse Spark has 27.