Model comparison
Mistral Small vs Mistral Small 3.2
Mistral Small is the stronger model overall, scoring 33.4 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 2.0× less per token, which makes it the better buy when Mistral Small's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Mistral AISummary
- They share 3 benchmarks with published results for both. Mistral Small scores higher in 3 categories and Mistral Small 3.2 in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Small 3.2 leads 26.3 to 16.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 5.8% for Mistral Small and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- Mistral Small accepts more context: 262K tokens versus 256K.
Side by side
| Mistral Small | Mistral Small 3.2 | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 33.4 | 31.2 |
| Released | 2024-02-26 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 262K | 256K |
| Max output | 256K | 16K |
| Input $ / M tokens | $0.15 | $0.0938 |
| Output $ / M tokens | $0.60 | $0.25 |
| Results tracked | 39 | 6 |
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Category by category
Coding Not comparable
Mistral Small: 34.0 (#247), Mistral Small 3.2: —
| Benchmark | Mistral Small | Mistral Small 3.2 |
|---|---|---|
| SciCode | 26.5% | — |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| LMArena Coding | 1362 | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |
Agentic & Tool Use Not comparable
Mistral Small: 28.1 (#93), Mistral Small 3.2: —
| Benchmark | Mistral Small | Mistral Small 3.2 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | — |
Reasoning Mistral Small leads
Mistral Small: 19.8 (#250), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Mistral Small | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 40.4% |
| CritPt | 0% | — |
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | 44.8% | — |
| LMArena Hard Prompts | 1335 | — |
| DTBench | 70.9% | — |
| LiveBench Data Analysis | 53.7% | — |
| LMCA | 20.6% | — |
| Epoch Capabilities Index | — | 131.74 |
| LiveBench | 44% | — |
Math Mistral Small 3.2 leads
Mistral Small: 16.4 (#293), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Mistral Small | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.8% | 30.3% |
| LiveBench Math | 39.9% | — |
| LMArena Math | 1341 | — |
| MATH Level 5 | 46.8% | — |
Knowledge Mistral Small leads
Mistral Small: 31.0 (#222), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Mistral Small | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 47.5% | 49.1% |
| Vectara Hallucination Rate | 5.1% | — |
| LMArena Expert | 1291 | — |
| MMLU | 68.7% | — |
Multimodal Not comparable
Mistral Small: 33.5 (#96), Mistral Small 3.2: —
| Benchmark | Mistral Small | Mistral Small 3.2 |
|---|---|---|
| LMArena Vision | 1142 | — |
Multilingual Not comparable
Mistral Small: 45.5 (#169), Mistral Small 3.2: —
| Benchmark | Mistral Small | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1315 | — |
| LMArena Chinese | 1340 | — |
| LMArena French | 1337 | — |
| LMArena German | 1340 | — |
| LMArena Japanese | 1275 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1346 | — |
Instruction Following Not comparable
Mistral Small: 66.4 (#209), Mistral Small 3.2: —
| Benchmark | Mistral Small | Mistral Small 3.2 |
|---|---|---|
| LiveBench Instruction Following | 63.7% | — |
| LMArena Instruction Following | 1310 | — |
Long Context Not comparable
Mistral Small: 40.4 (#156), Mistral Small 3.2: —
| Benchmark | Mistral Small | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1327 | — |
Writing & Preference Mistral Small leads
Mistral Small: 52.5 (#171), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Mistral Small | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1338 | — |
| LMArena Creative Writing | 1305 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1344 | — |
| LiveBench Language | 30.5% | — |
Frequently asked questions
Is Mistral Small better than Mistral Small 3.2?
Mistral Small is the stronger model overall, scoring 33.4 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 2.0× less per token, which makes it the better buy when Mistral Small's lead doesn't matter for your workload.
Which is cheaper, Mistral Small or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Mistral Small lists at $0.15 and $0.60.
Which has the bigger context window?
Mistral Small does, with 262K tokens against 256K.
How many benchmarks do Mistral Small and Mistral Small 3.2 share?
3 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Mistral Small 3.2 has 6.