Model comparison
MiniMax-M3 vs Mistral Large 4
MiniMax-M3 and Mistral Large 4 score almost the same on the Noometry Index (43.8 vs 43.1), so choose on price, context window or the category you care about most.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. MiniMax-M3 scores higher in 6 categories and Mistral Large 4 in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 36.6.
- The biggest single-benchmark swing is NYT Connections (extended): 65.1% for MiniMax-M3 and 27.4% for Mistral Large 4.
- MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 1M.
- MiniMax-M3 has downloadable open weights; the other is API-only.
Side by side
| MiniMax-M3 | Mistral Large 4 | |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 43.8 | 43.1 |
| Released | 2026-06-01 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 512K | 262K |
| Input $ / M tokens | $0.30 | $0.68 |
| Output $ / M tokens | $1.20 | $2.09 |
| Results tracked | 41 | 15 |
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Category by category
Coding Mistral Large 4 leads
MiniMax-M3: 41.8 (#118), Mistral Large 4: 48.6 (#57)
| Benchmark | MiniMax-M3 | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1482 | 1541 |
| LMArena Coding | 1469 | 1475 |
| FrontierCode | 14.7% | — |
| SciCode | 47.1% | — |
| ALE-Bench | 640.02 | — |
Agentic & Tool Use Not comparable
MiniMax-M3: 22.6 (#130), Mistral Large 4: —
| Benchmark | MiniMax-M3 | Mistral Large 4 |
|---|---|---|
| APEX-Agents | 37.7% | — |
| OSWorld 2.0 | 4.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 2,158 | — |
Reasoning MiniMax-M3 leads
MiniMax-M3: 30.1 (#87), Mistral Large 4: 22.5 (#192)
| Benchmark | MiniMax-M3 | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | 65.1% | 27.4% |
| LMArena Hard Prompts | 1447 | 1444 |
| SimpleBench | 45.8% | — |
| CritPt | 3.7% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| DTBench | 78.9% | — |
| LMCA | 33.7% | — |
| Surface Evolver Bench | 55% | — |
| Epoch Capabilities Index | 146.95 | — |
| ForecastBench | 61.4 | — |
Math Too close to call
MiniMax-M3: 40.0 (#95), Mistral Large 4: 40.4 (#91)
| Benchmark | MiniMax-M3 | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1429 | 1488 |
| OTIS Mock AIME 2024-2025 | 71.1% | — |
| ProofBench | 18% | — |
Knowledge MiniMax-M3 leads
MiniMax-M3: 58.4 (#35), Mistral Large 4: 36.6 (#166)
| Benchmark | MiniMax-M3 | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1461 | 1447 |
| GPQA Diamond | 90.9% | — |
| SimpleQA Verified | — | 20% |
Multimodal Not comparable
MiniMax-M3: 40.2 (#51), Mistral Large 4: —
| Benchmark | MiniMax-M3 | Mistral Large 4 |
|---|---|---|
| LMArena Vision | 1253 | — |
| LMArena Document | 1435 | — |
Multilingual Too close to call
MiniMax-M3: 53.0 (#75), Mistral Large 4: 52.6 (#82)
| Benchmark | MiniMax-M3 | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1420 | 1415 |
| LMArena Chinese | 1463 | 1491 |
| LMArena Russian | 1428 | 1414 |
| LMArena French | 1447 | — |
| LMArena German | 1426 | — |
| LMArena Japanese | 1381 | — |
| LMArena Korean | 1372 | — |
| LMArena Spanish | 1432 | — |
Instruction Following Too close to call
MiniMax-M3: 75.5 (#62), Mistral Large 4: 75.0 (#76)
| Benchmark | MiniMax-M3 | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1433 | 1424 |
Long Context Too close to call
MiniMax-M3: 44.2 (#72), Mistral Large 4: 43.6 (#89)
| Benchmark | MiniMax-M3 | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1445 | 1429 |
Writing & Preference MiniMax-M3 leads
MiniMax-M3: 62.1 (#83), Mistral Large 4: 60.4 (#97)
| Benchmark | MiniMax-M3 | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1433 | 1427 |
| LMArena Creative Writing | 1404 | 1361 |
| LMArena Multi-Turn | 1442 | 1424 |
| EQ-Bench 4 | 1150 | — |
Frequently asked questions
Is MiniMax-M3 better than Mistral Large 4?
MiniMax-M3 and Mistral Large 4 score almost the same on the Noometry Index (43.8 vs 43.1), so choose on price, context window or the category you care about most.
Which is cheaper, MiniMax-M3 or Mistral Large 4?
MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is MiniMax-M3 or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 41.8 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 1M.
How many benchmarks do MiniMax-M3 and Mistral Large 4 share?
14 benchmarks have published results for both models. MiniMax-M3 has 41 scored results on Noometry and Mistral Large 4 has 15.