Model comparison
DeepSeek V4.1 Flash vs Pixtral Large
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 32.2 on the Noometry Index.
Last verified . 2 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 2 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek V4.1 Flash leads 65.4 to 32.9.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $6 for Pixtral Large.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 128K.
Side by side
| DeepSeek V4.1 Flash | Pixtral Large | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 52.8 | 32.2 |
| Released | 2026-09-09 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 1M | 128K |
| Max output | 393K | 128K |
| Input $ / M tokens | $0.15 | $2 |
| Output $ / M tokens | $0.60 | $6 |
| Results tracked | 37 | 3 |
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Category by category
Coding Not comparable
DeepSeek V4.1 Flash: 52.9 (#32), Pixtral Large: —
| Benchmark | DeepSeek V4.1 Flash | Pixtral Large |
|---|---|---|
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| LMArena Coding | 1506 | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Pixtral Large: —
| Benchmark | DeepSeek V4.1 Flash | Pixtral Large |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Pixtral Large: 21.7 (#218)
| Benchmark | DeepSeek V4.1 Flash | Pixtral Large |
|---|---|---|
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1483 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 154.9 | — |
Math Not comparable
DeepSeek V4.1 Flash: 66.7 (#25), Pixtral Large: —
| Benchmark | DeepSeek V4.1 Flash | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| LMArena Math | 1477 | — |
Knowledge Not comparable
DeepSeek V4.1 Flash: 57.9 (#38), Pixtral Large: —
| Benchmark | DeepSeek V4.1 Flash | Pixtral Large |
|---|---|---|
| GPQA Diamond | 89.8% | — |
| LMArena Expert | 1506 | — |
Multimodal DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 39.1 (#61), Pixtral Large: 30.6 (#111)
| Benchmark | DeepSeek V4.1 Flash | Pixtral Large |
|---|---|---|
| LMArena Vision | 1277 | 1089 |
| Furniture Assembly | 34.2% | — |
Multilingual Not comparable
DeepSeek V4.1 Flash: 55.0 (#35), Pixtral Large: —
| Benchmark | DeepSeek V4.1 Flash | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1448 | — |
| LMArena Chinese | 1497 | — |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Russian | 1471 | — |
| LMArena Spanish | 1459 | — |
Instruction Following Not comparable
DeepSeek V4.1 Flash: 77.3 (#26), Pixtral Large: —
| Benchmark | DeepSeek V4.1 Flash | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1474 | — |
Long Context Not comparable
DeepSeek V4.1 Flash: 45.2 (#47), Pixtral Large: —
| Benchmark | DeepSeek V4.1 Flash | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1475 | — |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Pixtral Large: 32.9 (#278)
| Benchmark | DeepSeek V4.1 Flash | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1540 | 988 |
| LMArena Text | 1462 | — |
| LMArena Creative Writing | 1435 | — |
| LMArena Multi-Turn | 1457 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Pixtral Large?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 32.2 on the Noometry Index.
Which is cheaper, DeepSeek V4.1 Flash or Pixtral Large?
DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
DeepSeek V4.1 Flash does, with 1M tokens against 128K.
How many benchmarks do DeepSeek V4.1 Flash and Pixtral Large share?
2 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Pixtral Large has 3.