Model comparison
MiniMax-M3 vs Mistral Small 3.2
MiniMax-M3 is the stronger model overall, scoring 43.5 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 4.0× less per token, which makes it the better buy when MiniMax-M3's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
MiniMax
Mistral AISummary
- They share 4 benchmarks with published results for both. MiniMax-M3 scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 26.8.
- The biggest single-benchmark swing is GPQA Diamond: 90.9% for MiniMax-M3 and 49.1% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M3.
- MiniMax-M3 accepts more context: 1M tokens versus 256K.
Side by side
| MiniMax-M3 | Mistral Small 3.2 | |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 43.5 | 30.8 |
| Released | 2026-06-01 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 1M | 256K |
| Max output | 512K | 16K |
| Input $ / M tokens | $0.30 | $0.0938 |
| Output $ / M tokens | $1.20 | $0.25 |
| Results tracked | 41 | 6 |
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Category by category
Coding Not comparable
MiniMax-M3: 41.5 (#111), Mistral Small 3.2: —
| Benchmark | MiniMax-M3 | Mistral Small 3.2 |
|---|---|---|
| FrontierCode | 14.7% | — |
| LMArena WebDev | 1482 | — |
| SciCode | 47.1% | — |
| LMArena Coding | 1470 | — |
| ALE-Bench | 640.02 | — |
Agentic & Tool Use Not comparable
MiniMax-M3: 22.5 (#121), Mistral Small 3.2: —
| Benchmark | MiniMax-M3 | Mistral Small 3.2 |
|---|---|---|
| APEX-Agents | 37.7% | — |
| OSWorld 2.0 | 4.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 2,158 | — |
Reasoning MiniMax-M3 leads
MiniMax-M3: 29.3 (#83), Mistral Small 3.2: 17.5 (#282)
| Benchmark | MiniMax-M3 | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 14% | 1% |
| Epoch Capabilities Index | 147 | 131.73 |
| SimpleBench | 45.8% | — |
| Kagi LLM Benchmark | — | 40.4% |
| NYT Connections (extended) | 65.1% | — |
| CritPt | 3.7% | — |
| LMArena Hard Prompts | 1447 | — |
| Mystery Game Puzzles | 8% | — |
| DTBench | 78.9% | — |
| LMCA | 33.7% | — |
| Surface Evolver Bench | 55% | — |
| ForecastBench | 61.4 | — |
Math MiniMax-M3 leads
MiniMax-M3: 39.1 (#83), Mistral Small 3.2: 24.9 (#251)
| Benchmark | MiniMax-M3 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | 30.3% |
| ProofBench | 18% | — |
| LMArena Math | 1432 | — |
Knowledge MiniMax-M3 leads
MiniMax-M3: 58.4 (#32), Mistral Small 3.2: 26.8 (#249)
| Benchmark | MiniMax-M3 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 90.9% | 49.1% |
| LMArena Expert | 1462 | — |
Multimodal Not comparable
MiniMax-M3: 39.5 (#45), Mistral Small 3.2: —
| Benchmark | MiniMax-M3 | Mistral Small 3.2 |
|---|---|---|
| LMArena Vision | 1254 | — |
| LMArena Document | 1435 | — |
Multilingual Not comparable
MiniMax-M3: 53.2 (#70), Mistral Small 3.2: —
| Benchmark | MiniMax-M3 | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1445 | — |
| LMArena German | 1424 | — |
| LMArena Japanese | 1381 | — |
| LMArena Korean | 1372 | — |
| LMArena Russian | 1430 | — |
| LMArena Spanish | 1431 | — |
Instruction Following Not comparable
MiniMax-M3: 75.7 (#56), Mistral Small 3.2: —
| Benchmark | MiniMax-M3 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1433 | — |
Long Context Not comparable
MiniMax-M3: 44.2 (#68), Mistral Small 3.2: —
| Benchmark | MiniMax-M3 | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1445 | — |
Writing & Preference MiniMax-M3 leads
MiniMax-M3: 62.3 (#79), Mistral Small 3.2: 45.1 (#219)
| Benchmark | MiniMax-M3 | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1433 | — |
| LMArena Creative Writing | 1405 | — |
| EQ-Bench Creative Writing | — | 1255 |
| EQ-Bench 4 | 1150 | — |
| LMArena Multi-Turn | 1441 | — |
Frequently asked questions
Is MiniMax-M3 better than Mistral Small 3.2?
MiniMax-M3 is the stronger model overall, scoring 43.5 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 4.0× less per token, which makes it the better buy when MiniMax-M3's lead doesn't matter for your workload.
Which is cheaper, MiniMax-M3 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; MiniMax-M3 lists at $0.30 and $1.20.
Which has the bigger context window?
MiniMax-M3 does, with 1M tokens against 256K.
How many benchmarks do MiniMax-M3 and Mistral Small 3.2 share?
4 benchmarks have published results for both models. MiniMax-M3 has 41 scored results on Noometry and Mistral Small 3.2 has 6.