Model comparison
MiniMax-M2.7 vs Mistral Nemo
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 26.4 on the Noometry Index. Mistral Nemo costs 3.5× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
MiniMax
Mistral AISummary
- They share 1 benchmark with published results for both. MiniMax-M2.7 scores higher in 4 categories and Mistral Nemo in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2.7 leads 58.9 to 28.5.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
- MiniMax-M2.7 accepts more context: 205K tokens versus 128K.
Side by side
| MiniMax-M2.7 | Mistral Nemo | |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 37.7 | 26.4 |
| Released | 2026-03-18 | 2024-07-01 |
| Weights | Open | Open |
| Context window | 205K | 128K |
| Max output | 131K | 128K |
| Input $ / M tokens | $0.30 | $0.15 |
| Output $ / M tokens | $1.20 | $0.15 |
| Results tracked | 30 | 10 |
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Category by category
Coding Not comparable
MiniMax-M2.7: 41.8 (#120), Mistral Nemo: —
| Benchmark | MiniMax-M2.7 | Mistral Nemo |
|---|---|---|
| LMArena WebDev | 1398 | — |
| SciCode | 47% | — |
| WeirdML | 37% | — |
| LMArena Coding | 1454 | — |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use MiniMax-M2.7 leads
MiniMax-M2.7: 25.1 (#111), Mistral Nemo: 23.5 (#125)
| Benchmark | MiniMax-M2.7 | Mistral Nemo |
|---|---|---|
| Terminal-Bench | 45.1% | — |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning Mistral Nemo leads
MiniMax-M2.7: 19.7 (#253), Mistral Nemo: 20.7 (#232)
| Benchmark | MiniMax-M2.7 | Mistral Nemo |
|---|---|---|
| Epoch Capabilities Index | 145.85 | 118.68 |
| NYT Connections (extended) | 24.7% | — |
| CritPt | 0.6% | — |
| Thematic Generalization | 39.3% | — |
| LMArena Hard Prompts | 1422 | — |
| DTBench | — | 48.6% |
| PIQA | — | 83.5% |
Math Too close to call
MiniMax-M2.7: 25.9 (#263), Mistral Nemo: 25.5 (#268)
| Benchmark | MiniMax-M2.7 | Mistral Nemo |
|---|---|---|
| ProofBench | 3% | — |
| LMArena Math | 1420 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge MiniMax-M2.7 leads
MiniMax-M2.7: 37.7 (#152), Mistral Nemo: 12.3 (#298)
| Benchmark | MiniMax-M2.7 | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| Vectara Hallucination Rate | 12.9% | — |
| LMArena Expert | 1444 | — |
| BoolQ | — | 82.5% |
Multilingual Not comparable
MiniMax-M2.7: 50.3 (#123), Mistral Nemo: —
| Benchmark | MiniMax-M2.7 | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1382 | — |
| LMArena Chinese | 1441 | — |
| LMArena French | 1421 | — |
| LMArena German | 1398 | — |
| LMArena Japanese | 1262 | — |
| LMArena Korean | 1313 | — |
| LMArena Russian | 1383 | — |
| LMArena Spanish | 1403 | — |
Instruction Following Not comparable
MiniMax-M2.7: 74.1 (#103), Mistral Nemo: —
| Benchmark | MiniMax-M2.7 | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
MiniMax-M2.7: 43.3 (#99), Mistral Nemo: —
| Benchmark | MiniMax-M2.7 | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1419 | — |
Writing & Preference MiniMax-M2.7 leads
MiniMax-M2.7: 58.9 (#112), Mistral Nemo: 28.5 (#296)
| Benchmark | MiniMax-M2.7 | Mistral Nemo |
|---|---|---|
| LMArena Text | 1405 | — |
| LMArena Creative Writing | 1354 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1412 | — |
Frequently asked questions
Is MiniMax-M2.7 better than Mistral Nemo?
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 26.4 on the Noometry Index. Mistral Nemo costs 3.5× 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 Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.
Which has the bigger context window?
MiniMax-M2.7 does, with 205K tokens against 128K.
How many benchmarks do MiniMax-M2.7 and Mistral Nemo share?
1 benchmark has published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Mistral Nemo has 10.