Model comparison
MiniMax-M2 vs Pixtral Large
MiniMax-M2 is the stronger model overall, scoring 37.4 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
MiniMax
Mistral AISummary
- The widest gap is in writing & preference, where MiniMax-M2 leads 53.0 to 32.9.
- MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $6 for Pixtral Large.
- MiniMax-M2 accepts more context: 205K tokens versus 128K.
Side by side
| MiniMax-M2 | Pixtral Large | |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 37.4 | 32.2 |
| Released | 2025-10-27 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 205K | 128K |
| Max output | 131K | 128K |
| Input $ / M tokens | $0.30 | $2 |
| Output $ / M tokens | $1.20 | $6 |
| Results tracked | 21 | 3 |
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Category by category
Coding Not comparable
MiniMax-M2: 39.3 (#159), Pixtral Large: —
| Benchmark | MiniMax-M2 | Pixtral Large |
|---|---|---|
| SWE-bench Verified (bash only) | 61% | — |
| LMArena WebDev | 1297 | — |
| LMArena Coding | 1370 | — |
Agentic & Tool Use Not comparable
MiniMax-M2: 25.1 (#109), Pixtral Large: —
| Benchmark | MiniMax-M2 | Pixtral Large |
|---|---|---|
| Terminal-Bench | 30% | — |
| Vending-Bench 2 | 160.6 | — |
Reasoning Pixtral Large leads
MiniMax-M2: 19.4 (#258), Pixtral Large: 21.7 (#218)
| Benchmark | MiniMax-M2 | Pixtral Large |
|---|---|---|
| Kagi LLM Benchmark | 57.8% | — |
| NYT Connections (extended) | 14.8% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1357 | — |
Math Not comparable
MiniMax-M2: 37.3 (#160), Pixtral Large: —
| Benchmark | MiniMax-M2 | Pixtral Large |
|---|---|---|
| LMArena Math | 1352 | — |
Knowledge Not comparable
MiniMax-M2: 37.0 (#163), Pixtral Large: —
| Benchmark | MiniMax-M2 | Pixtral Large |
|---|---|---|
| LMArena Expert | 1337 | — |
Multimodal Not comparable
MiniMax-M2: —, Pixtral Large: 30.6 (#111)
| Benchmark | MiniMax-M2 | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
MiniMax-M2: 45.3 (#171), Pixtral Large: —
| Benchmark | MiniMax-M2 | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: —
| Benchmark | MiniMax-M2 | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1328 | — |
Long Context Not comparable
MiniMax-M2: 40.5 (#153), Pixtral Large: —
| Benchmark | MiniMax-M2 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1331 | — |
Writing & Preference MiniMax-M2 leads
MiniMax-M2: 53.0 (#162), Pixtral Large: 32.9 (#278)
| Benchmark | MiniMax-M2 | Pixtral Large |
|---|---|---|
| LMArena Text | 1340 | — |
| LMArena Creative Writing | 1286 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1361 | — |
Frequently asked questions
Is MiniMax-M2 better than Pixtral Large?
MiniMax-M2 is the stronger model overall, scoring 37.4 to 32.2 on the Noometry Index.
Which is cheaper, MiniMax-M2 or Pixtral Large?
MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
MiniMax-M2 does, with 205K tokens against 128K.
How many benchmarks do MiniMax-M2 and Pixtral Large share?
0 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Pixtral Large has 3.