Model comparison
MiniMax-M2.7 vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 5.7× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. MiniMax-M2.7 scores higher in 4 categories and Mistral Medium 3.5 in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Medium 3.5 leads 39.1 to 25.9.
- The biggest single-benchmark swing is NYT Connections (extended): 24.7% for MiniMax-M2.7 and 12.9% for Mistral Medium 3.5.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 205K.
Side by side
| MiniMax-M2.7 | Mistral Medium 3.5 | |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 37.7 | 40.2 |
| Released | 2026-03-18 | — |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 210K |
| Input $ / M tokens | $0.30 | $1.50 |
| Output $ / M tokens | $1.20 | $7.50 |
| Results tracked | 30 | 22 |
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Category by category
Coding MiniMax-M2.7 leads
MiniMax-M2.7: 41.8 (#120), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | MiniMax-M2.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1398 | 1264 |
| LMArena Coding | 1454 | 1461 |
| SciCode | 47% | — |
| WeirdML | 37% | — |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.7: 25.1 (#111), Mistral Medium 3.5: —
| Benchmark | MiniMax-M2.7 | Mistral Medium 3.5 |
|---|---|---|
| Terminal-Bench | 45.1% | — |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning MiniMax-M2.7 leads
MiniMax-M2.7: 19.7 (#253), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | MiniMax-M2.7 | Mistral Medium 3.5 |
|---|---|---|
| NYT Connections (extended) | 24.7% | 12.9% |
| LMArena Hard Prompts | 1422 | 1436 |
| Epoch Capabilities Index | 145.85 | 141.35 |
| Kagi LLM Benchmark | — | 41.4% |
| CritPt | 0.6% | — |
| Thematic Generalization | 39.3% | — |
Math Mistral Medium 3.5 leads
MiniMax-M2.7: 25.9 (#263), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | MiniMax-M2.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1420 | 1431 |
| ProofBench | 3% | — |
Knowledge Mistral Medium 3.5 leads
MiniMax-M2.7: 37.7 (#152), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | MiniMax-M2.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1444 | 1432 |
| Vectara Hallucination Rate | 12.9% | — |
Multimodal Not comparable
MiniMax-M2.7: —, Mistral Medium 3.5: 38.3 (#65)
| Benchmark | MiniMax-M2.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1223 |
Multilingual Mistral Medium 3.5 leads
MiniMax-M2.7: 50.3 (#123), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | MiniMax-M2.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1382 | 1404 |
| LMArena Chinese | 1441 | 1442 |
| LMArena French | 1421 | 1448 |
| LMArena German | 1398 | 1451 |
| LMArena Korean | 1313 | 1385 |
| LMArena Russian | 1383 | 1395 |
| LMArena Spanish | 1403 | 1409 |
| LMArena Japanese | 1262 | — |
Instruction Following Too close to call
MiniMax-M2.7: 74.1 (#103), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | MiniMax-M2.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1415 |
Long Context Too close to call
MiniMax-M2.7: 43.3 (#99), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | MiniMax-M2.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1419 | 1415 |
Writing & Preference Too close to call
MiniMax-M2.7: 58.9 (#112), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | MiniMax-M2.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1405 | 1421 |
| LMArena Creative Writing | 1354 | 1374 |
| LMArena Multi-Turn | 1412 | 1423 |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is MiniMax-M2.7 better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 5.7× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Which is cheaper, MiniMax-M2.7 or Mistral Medium 3.5?
MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is MiniMax-M2.7 or Mistral Medium 3.5 better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium 3.5 does, with 262K tokens against 205K.
How many benchmarks do MiniMax-M2.7 and Mistral Medium 3.5 share?
19 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Mistral Medium 3.5 has 22.