Model comparison
Mistral Small 3.2 vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.8 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 1.3's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Mistral AI
MetaSummary
- They share 4 benchmarks with published results for both. Mistral Small 3.2 scores higher in 0 categories and Muse Spark 1.3 in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 26.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30.3% for Mistral Small 3.2 and 99.2% for Muse Spark 1.3.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.3.
- Muse Spark 1.3 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 1.3 | |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 31.2 | 54.8 |
| Released | 2025-06-20 | 2026-09-02 |
| 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 1.3: 56.6 (#21)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.3 |
|---|---|---|
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
| LMArena Coding | — | 1514 |
Agentic & Tool Use Not comparable
Mistral Small 3.2: —, Muse Spark 1.3: 38.6 (#30)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
Mistral Small 3.2: 18.1 (#287), Muse Spark 1.3: 54.0 (#27)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.3 |
|---|---|---|
| Chess Puzzles | 1% | 38% |
| Epoch Capabilities Index | 131.74 | 156.75 |
| Kagi LLM Benchmark | 40.4% | — |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 26% |
| LMArena Hard Prompts | — | 1503 |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
Math Muse Spark 1.3 leads
Mistral Small 3.2: 26.3 (#260), Muse Spark 1.3: 73.1 (#21)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | 99.2% |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| ProofBench | — | 58% |
| LMArena Math | — | 1494 |
Knowledge Muse Spark 1.3 leads
Mistral Small 3.2: 26.7 (#256), Muse Spark 1.3: 42.6 (#95)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.3 |
|---|---|---|
| GPQA Diamond | 49.1% | — |
| LMArena Expert | — | 1516 |
Multimodal Not comparable
Mistral Small 3.2: —, Muse Spark 1.3: 43.7 (#22)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1309 |
| LMArena Document | — | 1471 |
Multilingual Not comparable
Mistral Small 3.2: —, Muse Spark 1.3: 57.4 (#8)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | — | 1481 |
| LMArena Chinese | — | 1529 |
| LMArena French | — | 1524 |
| LMArena German | — | 1515 |
| LMArena Japanese | — | 1474 |
| LMArena Korean | — | 1501 |
| LMArena Russian | — | 1490 |
| LMArena Spanish | — | 1490 |
Instruction Following Not comparable
Mistral Small 3.2: —, Muse Spark 1.3: 77.5 (#22)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | — | 1477 |
Long Context Not comparable
Mistral Small 3.2: —, Muse Spark 1.3: 45.6 (#32)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | — | 1488 |
Writing & Preference Muse Spark 1.3 leads
Mistral Small 3.2: 45.0 (#224), Muse Spark 1.3: 73.6 (#9)
| Benchmark | Mistral Small 3.2 | Muse Spark 1.3 |
|---|---|---|
| EQ-Bench Creative Writing | 1255 | 1906 |
| LMArena Text | — | 1490 |
| LMArena Creative Writing | — | 1455 |
| LMArena Multi-Turn | — | 1482 |
Frequently asked questions
Is Mistral Small 3.2 better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 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 1.3's lead doesn't matter for your workload.
Which is cheaper, Mistral Small 3.2 or Muse Spark 1.3?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.
Which has the bigger context window?
Muse Spark 1.3 does, with 1.05M tokens against 256K.
How many benchmarks do Mistral Small 3.2 and Muse Spark 1.3 share?
4 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Muse Spark 1.3 has 37.