Model comparison
Mistral Small 3.2 vs Muse Spark 1.1
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 15× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Mistral AI
MetaSummary
- They share 2 benchmarks with published results for both. Mistral Small 3.2 scores higher in 0 categories and Muse Spark 1.1 in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 18.1.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
- Muse Spark 1.1 accepts more context: 1.05M tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Mistral Small 3.2 | Muse Spark 1.1 | |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 31.2 | 49.9 |
| Released | 2025-06-20 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 256K | 1.05M |
| Max output | 16K | 131K |
| Input $ / M tokens | $0.0938 | $1.25 |
| Output $ / M tokens | $0.25 | $4.25 |
| Results tracked | 6 | 37 |
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Category by category
Coding Not comparable
Mistral Small 3.2: —, Muse Spark 1.1: 51.3 (#40)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.1 |
|---|---|---|
| DeepSWE | — | 53.3% |
| LMArena WebDev | — | 1542 |
| SciCode | — | 58.8% |
| LMArena Coding | — | 1498 |
Agentic & Tool Use Not comparable
Mistral Small 3.2: —, Muse Spark 1.1: 30.8 (#73)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.1 |
|---|---|---|
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |
Reasoning Muse Spark 1.1 leads
Mistral Small 3.2: 18.1 (#287), Muse Spark 1.1: 47.1 (#44)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.1 |
|---|---|---|
| Epoch Capabilities Index | 131.74 | 154.21 |
| Kagi LLM Benchmark | 40.4% | — |
| NYT Connections (extended) | — | 84.9% |
| CritPt | — | 15.1% |
| Chess Puzzles | 1% | — |
| LMArena Hard Prompts | — | 1486 |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
Math Muse Spark 1.1 leads
Mistral Small 3.2: 26.3 (#260), Muse Spark 1.1: 45.5 (#76)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | — |
| ProofBench | — | 39% |
| LMArena Math | — | 1483 |
Knowledge Muse Spark 1.1 leads
Mistral Small 3.2: 26.7 (#256), Muse Spark 1.1: 53.1 (#59)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.1 |
|---|---|---|
| GPQA Diamond | 49.1% | — |
| SimpleQA Verified | — | 57.8% |
| LMArena Expert | — | 1478 |
Multimodal Not comparable
Mistral Small 3.2: —, Muse Spark 1.1: 42.6 (#29)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | — | 1293 |
| LMArena Document | — | 1465 |
Multilingual Not comparable
Mistral Small 3.2: —, Muse Spark 1.1: 56.7 (#17)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | — | 1472 |
| LMArena Chinese | — | 1518 |
| LMArena French | — | 1494 |
| LMArena German | — | 1466 |
| LMArena Japanese | — | 1451 |
| LMArena Korean | — | 1458 |
| LMArena Russian | — | 1483 |
| LMArena Spanish | — | 1464 |
Instruction Following Not comparable
Mistral Small 3.2: —, Muse Spark 1.1: 76.5 (#39)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | — | 1457 |
Long Context Not comparable
Mistral Small 3.2: —, Muse Spark 1.1: 44.8 (#58)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | — | 1462 |
Writing & Preference Muse Spark 1.1 leads
Mistral Small 3.2: 45.0 (#224), Muse Spark 1.1: 73.4 (#11)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.1 |
|---|---|---|
| EQ-Bench Creative Writing | 1255 | 1927 |
| LMArena Text | — | 1479 |
| LMArena Creative Writing | — | 1437 |
| EQ-Bench 4 | — | 1260 |
| LMArena Multi-Turn | — | 1485 |
Frequently asked questions
Is Mistral Small 3.2 better than Muse Spark 1.1?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 15× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.
Which is cheaper, Mistral Small 3.2 or Muse Spark 1.1?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.
Which has the bigger context window?
Muse Spark 1.1 does, with 1.05M tokens against 256K.
How many benchmarks do Mistral Small 3.2 and Muse Spark 1.1 share?
2 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Muse Spark 1.1 has 37.