Model comparison
MiniMax-M2.7 vs Mistral Small 3
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 31.2 on the Noometry Index. Mistral Small 3 costs 9.1× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. MiniMax-M2.7 scores higher in 8 categories and Mistral Small 3 in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2.7 leads 58.9 to 32.2.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
- MiniMax-M2.7 accepts more context: 205K tokens versus 33K.
Side by side
| MiniMax-M2.7 | Mistral Small 3 | |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 37.7 | 31.2 |
| Released | 2026-03-18 | 2025-01-30 |
| Weights | Open | Open |
| Context window | 205K | 33K |
| Max output | 131K | 16K |
| Input $ / M tokens | $0.30 | $0.05 |
| Output $ / M tokens | $1.20 | $0.08 |
| Results tracked | 30 | 24 |
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Category by category
Coding MiniMax-M2.7 leads
MiniMax-M2.7: 41.8 (#120), Mistral Small 3: 36.5 (#207)
| Benchmark | MiniMax-M2.7 | Mistral Small 3 |
|---|---|---|
| LMArena Coding | 1454 | 1246 |
| LMArena WebDev | 1398 | — |
| SciCode | 47% | — |
| WeirdML | 37% | — |
| BigCodeBench Instruct | — | 45.3% |
| BigCodeBench Complete | — | 50.4% |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.7: 25.1 (#111), Mistral Small 3: —
| Benchmark | MiniMax-M2.7 | Mistral Small 3 |
|---|---|---|
| Terminal-Bench | 45.1% | — |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning Too close to call
MiniMax-M2.7: 19.7 (#253), Mistral Small 3: 18.9 (#273)
| Benchmark | MiniMax-M2.7 | Mistral Small 3 |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1233 |
| Epoch Capabilities Index | 145.85 | 127.07 |
| NYT Connections (extended) | 24.7% | — |
| CritPt | 0.6% | — |
| Chess Puzzles | — | 0% |
| Thematic Generalization | 39.3% | — |
Math MiniMax-M2.7 leads
MiniMax-M2.7: 25.9 (#263), Mistral Small 3: 16.3 (#295)
| Benchmark | MiniMax-M2.7 | Mistral Small 3 |
|---|---|---|
| LMArena Math | 1420 | 1240 |
| OTIS Mock AIME 2024-2025 | — | 6.7% |
| ProofBench | 3% | — |
Knowledge MiniMax-M2.7 leads
MiniMax-M2.7: 37.7 (#152), Mistral Small 3: 25.1 (#263)
| Benchmark | MiniMax-M2.7 | Mistral Small 3 |
|---|---|---|
| LMArena Expert | 1444 | 1202 |
| GPQA Diamond | — | 47.3% |
| Confabulations | — | 25.2% |
| Vectara Hallucination Rate | 12.9% | — |
Multilingual MiniMax-M2.7 leads
MiniMax-M2.7: 50.3 (#123), Mistral Small 3: 37.3 (#236)
| Benchmark | MiniMax-M2.7 | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1382 | 1198 |
| LMArena Chinese | 1441 | 1204 |
| LMArena French | 1421 | 1203 |
| LMArena German | 1398 | 1211 |
| LMArena Japanese | 1262 | 1111 |
| LMArena Korean | 1313 | 1188 |
| LMArena Russian | 1383 | 1216 |
| LMArena Spanish | 1403 | — |
Instruction Following MiniMax-M2.7 leads
MiniMax-M2.7: 74.1 (#103), Mistral Small 3: 63.7 (#229)
| Benchmark | MiniMax-M2.7 | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1214 |
Long Context MiniMax-M2.7 leads
MiniMax-M2.7: 43.3 (#99), Mistral Small 3: 37.8 (#211)
| Benchmark | MiniMax-M2.7 | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1419 | 1246 |
Writing & Preference MiniMax-M2.7 leads
MiniMax-M2.7: 58.9 (#112), Mistral Small 3: 32.2 (#280)
| Benchmark | MiniMax-M2.7 | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1405 | 1234 |
| LMArena Creative Writing | 1354 | 1195 |
| LMArena Multi-Turn | 1412 | 1217 |
| EQ-Bench Creative Writing | — | 707 |
Frequently asked questions
Is MiniMax-M2.7 better than Mistral Small 3?
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 31.2 on the Noometry Index. Mistral Small 3 costs 9.1× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.
Which is cheaper, MiniMax-M2.7 or Mistral Small 3?
Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.
Is MiniMax-M2.7 or Mistral Small 3 better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 36.5 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.7 does, with 205K tokens against 33K.
How many benchmarks do MiniMax-M2.7 and Mistral Small 3 share?
17 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Mistral Small 3 has 24.