Model comparison
MiniMax-M2.7 vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 2.0× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. MiniMax-M2.7 scores higher in 1 category and Mistral Large 4 in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Large 4 leads 40.4 to 25.9.
- MiniMax-M2.7 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 205K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.
Side by side
| MiniMax-M2.7 | Mistral Large 4 | |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 37.7 | 43.1 |
| Released | 2026-03-18 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | 205K | 1.05M |
| Max output | 131K | 262K |
| Input $ / M tokens | $0.30 | $0.68 |
| Output $ / M tokens | $1.20 | $2.09 |
| Results tracked | 30 | 15 |
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Category by category
Coding Mistral Large 4 leads
MiniMax-M2.7: 41.8 (#120), Mistral Large 4: 48.6 (#57)
| Benchmark | MiniMax-M2.7 | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1398 | 1541 |
| LMArena Coding | 1454 | 1475 |
| SciCode | 47% | — |
| WeirdML | 37% | — |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.7: 25.1 (#111), Mistral Large 4: —
| Benchmark | MiniMax-M2.7 | Mistral Large 4 |
|---|---|---|
| Terminal-Bench | 45.1% | — |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning Mistral Large 4 leads
MiniMax-M2.7: 19.7 (#253), Mistral Large 4: 22.5 (#192)
| Benchmark | MiniMax-M2.7 | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | 24.7% | 27.4% |
| LMArena Hard Prompts | 1422 | 1444 |
| CritPt | 0.6% | — |
| Thematic Generalization | 39.3% | — |
| Epoch Capabilities Index | 145.85 | — |
Math Mistral Large 4 leads
MiniMax-M2.7: 25.9 (#263), Mistral Large 4: 40.4 (#91)
| Benchmark | MiniMax-M2.7 | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1420 | 1488 |
| ProofBench | 3% | — |
Knowledge MiniMax-M2.7 leads
MiniMax-M2.7: 37.7 (#152), Mistral Large 4: 36.6 (#166)
| Benchmark | MiniMax-M2.7 | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1444 | 1447 |
| SimpleQA Verified | — | 20% |
| Vectara Hallucination Rate | 12.9% | — |
Multilingual Mistral Large 4 leads
MiniMax-M2.7: 50.3 (#123), Mistral Large 4: 52.6 (#82)
| Benchmark | MiniMax-M2.7 | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1382 | 1415 |
| LMArena Chinese | 1441 | 1491 |
| LMArena Russian | 1383 | 1414 |
| LMArena French | 1421 | — |
| LMArena German | 1398 | — |
| LMArena Japanese | 1262 | — |
| LMArena Korean | 1313 | — |
| LMArena Spanish | 1403 | — |
Instruction Following Too close to call
MiniMax-M2.7: 74.1 (#103), Mistral Large 4: 75.0 (#76)
| Benchmark | MiniMax-M2.7 | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1424 |
Long Context Too close to call
MiniMax-M2.7: 43.3 (#99), Mistral Large 4: 43.6 (#89)
| Benchmark | MiniMax-M2.7 | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1419 | 1429 |
Writing & Preference Mistral Large 4 leads
MiniMax-M2.7: 58.9 (#112), Mistral Large 4: 60.4 (#97)
| Benchmark | MiniMax-M2.7 | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1405 | 1427 |
| LMArena Creative Writing | 1354 | 1361 |
| LMArena Multi-Turn | 1412 | 1424 |
Frequently asked questions
Is MiniMax-M2.7 better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 2.0× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Which is cheaper, MiniMax-M2.7 or Mistral Large 4?
MiniMax-M2.7 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-M2.7 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 205K.
How many benchmarks do MiniMax-M2.7 and Mistral Large 4 share?
14 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Mistral Large 4 has 15.