Model comparison
MiniMax-M2 vs Mistral Nemo
MiniMax-M2 is the stronger model overall, scoring 37.4 to 26.4 on the Noometry Index. Mistral Nemo costs 3.5× less per token, which makes it the better buy when MiniMax-M2's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
MiniMax
Mistral AISummary
- The widest gap is in knowledge, where MiniMax-M2 leads 37.0 to 12.3.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.
- MiniMax-M2 accepts more context: 205K tokens versus 128K.
Side by side
| MiniMax-M2 | Mistral Nemo | |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 37.4 | 26.4 |
| Released | 2025-10-27 | 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 | 21 | 10 |
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Category by category
Coding Not comparable
MiniMax-M2: 39.3 (#159), Mistral Nemo: —
| Benchmark | MiniMax-M2 | Mistral Nemo |
|---|---|---|
| SWE-bench Verified (bash only) | 61% | — |
| LMArena WebDev | 1297 | — |
| LMArena Coding | 1370 | — |
Agentic & Tool Use MiniMax-M2 leads
MiniMax-M2: 25.1 (#109), Mistral Nemo: 23.5 (#125)
| Benchmark | MiniMax-M2 | Mistral Nemo |
|---|---|---|
| Terminal-Bench | 30% | — |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
| Vending-Bench 2 | 160.6 | — |
Reasoning Mistral Nemo leads
MiniMax-M2: 19.4 (#258), Mistral Nemo: 20.7 (#232)
| Benchmark | MiniMax-M2 | Mistral Nemo |
|---|---|---|
| Kagi LLM Benchmark | 57.8% | — |
| NYT Connections (extended) | 14.8% | — |
| LMArena Hard Prompts | 1357 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math MiniMax-M2 leads
MiniMax-M2: 37.3 (#160), Mistral Nemo: 25.5 (#268)
| Benchmark | MiniMax-M2 | Mistral Nemo |
|---|---|---|
| LMArena Math | 1352 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge MiniMax-M2 leads
MiniMax-M2: 37.0 (#163), Mistral Nemo: 12.3 (#298)
| Benchmark | MiniMax-M2 | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1337 | — |
| BoolQ | — | 82.5% |
Multilingual Not comparable
MiniMax-M2: 45.3 (#171), Mistral Nemo: —
| Benchmark | MiniMax-M2 | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1366 | — |
| LMArena French | 1335 | — |
| LMArena German | 1355 | — |
| LMArena Russian | 1331 | — |
| LMArena Spanish | 1326 | — |
Instruction Following Not comparable
MiniMax-M2: 70.2 (#166), Mistral Nemo: —
| Benchmark | MiniMax-M2 | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1328 | — |
Long Context Not comparable
MiniMax-M2: 40.5 (#153), Mistral Nemo: —
| Benchmark | MiniMax-M2 | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1331 | — |
Writing & Preference MiniMax-M2 leads
MiniMax-M2: 53.0 (#162), Mistral Nemo: 28.5 (#296)
| Benchmark | MiniMax-M2 | Mistral Nemo |
|---|---|---|
| LMArena Text | 1340 | — |
| LMArena Creative Writing | 1286 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1361 | — |
Frequently asked questions
Is MiniMax-M2 better than Mistral Nemo?
MiniMax-M2 is the stronger model overall, scoring 37.4 to 26.4 on the Noometry Index. Mistral Nemo costs 3.5× less per token, which makes it the better buy when MiniMax-M2's lead doesn't matter for your workload.
Which is cheaper, MiniMax-M2 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 lists at $0.30 and $1.20.
Which has the bigger context window?
MiniMax-M2 does, with 205K tokens against 128K.
How many benchmarks do MiniMax-M2 and Mistral Nemo share?
0 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Mistral Nemo has 10.