Model comparison
Mistral Small 3.1 vs Muse Spark 1.2
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 5.0× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Mistral AI
MetaSummary
- They share 17 benchmarks with published results for both. Mistral Small 3.1 scores higher in 0 categories and Muse Spark 1.2 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Muse Spark 1.2 leads 72.3 to 37.0.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 128K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.
Side by side
| Mistral Small 3.1 | Muse Spark 1.2 | |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 31.7 | 50.3 |
| Released | 2025-03-17 | 2026-08-05 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 102K | 131K |
| Input $ / M tokens | $0.35 | $1.25 |
| Output $ / M tokens | $0.56 | $4.25 |
| Results tracked | 28 | 31 |
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Category by category
Coding Muse Spark 1.2 leads
Mistral Small 3.1: 38.3 (#179), Muse Spark 1.2: 49.2 (#51)
| Benchmark | Mistral Small 3.1 | Muse Spark 1.2 |
|---|---|---|
| LMArena Coding | 1309 | 1495 |
| DeepSWE | — | 54.9% |
| LMArena WebDev | — | 1533 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| WeirdML | — | 60.3% |
Agentic & Tool Use Not comparable
Mistral Small 3.1: —, Muse Spark 1.2: 29.4 (#87)
| Benchmark | Mistral Small 3.1 | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| GDP.pdf | — | 16% |
Reasoning Muse Spark 1.2 leads
Mistral Small 3.1: 19.7 (#254), Muse Spark 1.2: 51.3 (#34)
| Benchmark | Mistral Small 3.1 | Muse Spark 1.2 |
|---|---|---|
| LMArena Hard Prompts | 1278 | 1486 |
| Epoch Capabilities Index | 127.48 | 154.87 |
| SimpleBench | — | 74.5% |
| NYT Connections (extended) | — | 79.2% |
| CritPt | — | 17.7% |
| Chess Puzzles | 1% | — |
| DTBench | — | 94.7% |
| LMCA | — | 48.4% |
Math Muse Spark 1.2 leads
Mistral Small 3.1: 14.7 (#301), Muse Spark 1.2: 46.4 (#70)
| Benchmark | Mistral Small 3.1 | Muse Spark 1.2 |
|---|---|---|
| LMArena Math | 1262 | 1471 |
| OTIS Mock AIME 2024-2025 | 3.9% | — |
| ProofBench | — | 43% |
| Omni-MATH | 24.8% | — |
Knowledge Muse Spark 1.2 leads
Mistral Small 3.1: 22.6 (#271), Muse Spark 1.2: 54.1 (#53)
| Benchmark | Mistral Small 3.1 | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1257 | 1480 |
| GPQA Diamond | 41.9% | — |
| SimpleQA Verified | — | 60.3% |
| MMLU-Pro | 61% | — |
| GPQA (HELM) | 39.2% | — |
Multimodal Muse Spark 1.2 leads
Mistral Small 3.1: 33.2 (#99), Muse Spark 1.2: 43.4 (#25)
| Benchmark | Mistral Small 3.1 | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1136 | 1305 |
Multilingual Muse Spark 1.2 leads
Mistral Small 3.1: 41.2 (#209), Muse Spark 1.2: 57.1 (#11)
| Benchmark | Mistral Small 3.1 | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1255 | 1478 |
| LMArena Chinese | 1253 | 1511 |
| LMArena French | 1273 | 1513 |
| LMArena Russian | 1263 | 1487 |
| LMArena Spanish | 1283 | 1498 |
| LMArena German | 1266 | — |
| LMArena Japanese | 1208 | — |
| LMArena Korean | 1206 | — |
Instruction Following Muse Spark 1.2 leads
Mistral Small 3.1: 63.6 (#230), Muse Spark 1.2: 76.7 (#36)
| Benchmark | Mistral Small 3.1 | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1264 | 1461 |
| IFEval | 75% | — |
Long Context Muse Spark 1.2 leads
Mistral Small 3.1: 39.5 (#178), Muse Spark 1.2: 45.2 (#48)
| Benchmark | Mistral Small 3.1 | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1299 | 1475 |
Writing & Preference Muse Spark 1.2 leads
Mistral Small 3.1: 37.0 (#259), Muse Spark 1.2: 72.3 (#14)
| Benchmark | Mistral Small 3.1 | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1277 | 1482 |
| LMArena Creative Writing | 1253 | 1449 |
| EQ-Bench Creative Writing | 761 | 1840 |
| LMArena Multi-Turn | 1270 | 1494 |
| WildBench | 78.8% | — |
Frequently asked questions
Is Mistral Small 3.1 better than Muse Spark 1.2?
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 5.0× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.
Which is cheaper, Mistral Small 3.1 or Muse Spark 1.2?
Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.
Is Mistral Small 3.1 or Muse Spark 1.2 better for coding?
Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 38.3 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.2 does, with 1.05M tokens against 128K.
How many benchmarks do Mistral Small 3.1 and Muse Spark 1.2 share?
17 benchmarks have published results for both models. Mistral Small 3.1 has 28 scored results on Noometry and Muse Spark 1.2 has 31.