Model comparison
MiniMax-M2.1 vs Pixtral Large
MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
MiniMax
Mistral AISummary
- The widest gap is in writing & preference, where MiniMax-M2.1 leads 58.3 to 32.9.
- MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $6 for Pixtral Large.
- MiniMax-M2.1 accepts more context: 205K tokens versus 128K.
Side by side
| MiniMax-M2.1 | Pixtral Large | |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 38.9 | 32.2 |
| Released | 2025-12-23 | 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 | 22 | 3 |
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Category by category
Coding Not comparable
MiniMax-M2.1: 40.4 (#143), Pixtral Large: —
| Benchmark | MiniMax-M2.1 | Pixtral Large |
|---|---|---|
| LMArena WebDev | 1384 | — |
| LMArena Coding | 1421 | — |
| ALE-Bench | 623.83 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.1: 27.9 (#98), Pixtral Large: —
| Benchmark | MiniMax-M2.1 | Pixtral Large |
|---|---|---|
| Terminal-Bench | 36.6% | — |
Reasoning Pixtral Large leads
MiniMax-M2.1: 16.6 (#302), Pixtral Large: 21.7 (#218)
| Benchmark | MiniMax-M2.1 | Pixtral Large |
|---|---|---|
| NYT Connections (extended) | 11.2% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1411 | — |
Math Not comparable
MiniMax-M2.1: 38.3 (#138), Pixtral Large: —
| Benchmark | MiniMax-M2.1 | Pixtral Large |
|---|---|---|
| LMArena Math | 1397 | — |
Knowledge Not comparable
MiniMax-M2.1: 38.3 (#147), Pixtral Large: —
| Benchmark | MiniMax-M2.1 | Pixtral Large |
|---|---|---|
| Vectara Hallucination Rate | 11.8% | — |
| LMArena Expert | 1431 | — |
Multimodal Not comparable
MiniMax-M2.1: —, Pixtral Large: 30.6 (#111)
| Benchmark | MiniMax-M2.1 | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
MiniMax-M2.1: 50.0 (#128), Pixtral Large: —
| Benchmark | MiniMax-M2.1 | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1378 | — |
| LMArena Chinese | 1430 | — |
| LMArena French | 1404 | — |
| LMArena German | 1381 | — |
| LMArena Japanese | 1287 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1387 | — |
| LMArena Spanish | 1397 | — |
Instruction Following Not comparable
MiniMax-M2.1: 73.8 (#112), Pixtral Large: —
| Benchmark | MiniMax-M2.1 | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1400 | — |
Long Context Not comparable
MiniMax-M2.1: 43.2 (#101), Pixtral Large: —
| Benchmark | MiniMax-M2.1 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1416 | — |
Writing & Preference MiniMax-M2.1 leads
MiniMax-M2.1: 58.3 (#120), Pixtral Large: 32.9 (#278)
| Benchmark | MiniMax-M2.1 | Pixtral Large |
|---|---|---|
| LMArena Text | 1392 | — |
| LMArena Creative Writing | 1361 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1396 | — |
Frequently asked questions
Is MiniMax-M2.1 better than Pixtral Large?
MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 32.2 on the Noometry Index.
Which is cheaper, MiniMax-M2.1 or Pixtral Large?
MiniMax-M2.1 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-M2.1 does, with 205K tokens against 128K.
How many benchmarks do MiniMax-M2.1 and Pixtral Large share?
0 benchmarks have published results for both models. MiniMax-M2.1 has 22 scored results on Noometry and Pixtral Large has 3.