Model comparison
MiniMax-M2.7 vs Pixtral Large
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
MiniMax
Mistral AISummary
- The widest gap is in writing & preference, where MiniMax-M2.7 leads 58.9 to 32.9.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $6 for Pixtral Large.
- MiniMax-M2.7 accepts more context: 205K tokens versus 128K.
Side by side
| MiniMax-M2.7 | Pixtral Large | |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 37.7 | 32.2 |
| Released | 2026-03-18 | 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 | 30 | 3 |
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Category by category
Coding Not comparable
MiniMax-M2.7: 41.8 (#120), Pixtral Large: —
| Benchmark | MiniMax-M2.7 | Pixtral Large |
|---|---|---|
| LMArena WebDev | 1398 | — |
| SciCode | 47% | — |
| WeirdML | 37% | — |
| LMArena Coding | 1454 | — |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.7: 25.1 (#111), Pixtral Large: —
| Benchmark | MiniMax-M2.7 | Pixtral Large |
|---|---|---|
| Terminal-Bench | 45.1% | — |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning Pixtral Large leads
MiniMax-M2.7: 19.7 (#253), Pixtral Large: 21.7 (#218)
| Benchmark | MiniMax-M2.7 | Pixtral Large |
|---|---|---|
| NYT Connections (extended) | 24.7% | — |
| CritPt | 0.6% | — |
| EnigmaEval | — | 0.8% |
| Thematic Generalization | 39.3% | — |
| LMArena Hard Prompts | 1422 | — |
| Epoch Capabilities Index | 145.85 | — |
Math Not comparable
MiniMax-M2.7: 25.9 (#263), Pixtral Large: —
| Benchmark | MiniMax-M2.7 | Pixtral Large |
|---|---|---|
| ProofBench | 3% | — |
| LMArena Math | 1420 | — |
Knowledge Not comparable
MiniMax-M2.7: 37.7 (#152), Pixtral Large: —
| Benchmark | MiniMax-M2.7 | Pixtral Large |
|---|---|---|
| Vectara Hallucination Rate | 12.9% | — |
| LMArena Expert | 1444 | — |
Multimodal Not comparable
MiniMax-M2.7: —, Pixtral Large: 30.6 (#111)
| Benchmark | MiniMax-M2.7 | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
MiniMax-M2.7: 50.3 (#123), Pixtral Large: —
| Benchmark | MiniMax-M2.7 | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: —
| Benchmark | MiniMax-M2.7 | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
MiniMax-M2.7: 43.3 (#99), Pixtral Large: —
| Benchmark | MiniMax-M2.7 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1419 | — |
Writing & Preference MiniMax-M2.7 leads
MiniMax-M2.7: 58.9 (#112), Pixtral Large: 32.9 (#278)
| Benchmark | MiniMax-M2.7 | Pixtral Large |
|---|---|---|
| LMArena Text | 1405 | — |
| LMArena Creative Writing | 1354 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1412 | — |
Frequently asked questions
Is MiniMax-M2.7 better than Pixtral Large?
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 32.2 on the Noometry Index.
Which is cheaper, MiniMax-M2.7 or Pixtral Large?
MiniMax-M2.7 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-M2.7 does, with 205K tokens against 128K.
How many benchmarks do MiniMax-M2.7 and Pixtral Large share?
0 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Pixtral Large has 3.