Model comparison
DeepSeek V4 Flash vs Pixtral Large
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 32.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. DeepSeek V4 Flash scores higher in 2 categories and Pixtral Large in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 21.7.
- DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $6 for Pixtral Large.
- DeepSeek V4 Flash accepts more context: 1M tokens versus 128K.
Side by side
| DeepSeek V4 Flash | Pixtral Large | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 53.6 | 32.2 |
| Released | 2026-04-24 | 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 | 41 | 3 |
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Category by category
Coding Not comparable
DeepSeek V4 Flash: 47.9 (#59), Pixtral Large: —
| Benchmark | DeepSeek V4 Flash | Pixtral Large |
|---|---|---|
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| LMArena Coding | 1457 | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Pixtral Large: 21.7 (#218)
| Benchmark | DeepSeek V4 Flash | Pixtral Large |
|---|---|---|
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1444 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.49 | — |
Math Not comparable
DeepSeek V4 Flash: 60.3 (#37), Pixtral Large: —
| Benchmark | DeepSeek V4 Flash | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |
| LMArena Math | 1427 | — |
Knowledge Not comparable
DeepSeek V4 Flash: 55.4 (#48), Pixtral Large: —
| Benchmark | DeepSeek V4 Flash | Pixtral Large |
|---|---|---|
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
| LMArena Expert | 1441 | — |
Multimodal Not comparable
DeepSeek V4 Flash: —, Pixtral Large: 30.6 (#111)
| Benchmark | DeepSeek V4 Flash | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
DeepSeek V4 Flash: 53.0 (#72), Pixtral Large: —
| Benchmark | DeepSeek V4 Flash | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1468 | — |
| LMArena French | 1439 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1428 | — |
| LMArena Spanish | 1436 | — |
Instruction Following Not comparable
DeepSeek V4 Flash: 74.9 (#81), Pixtral Large: —
| Benchmark | DeepSeek V4 Flash | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1421 | — |
Long Context Not comparable
DeepSeek V4 Flash: 43.8 (#85), Pixtral Large: —
| Benchmark | DeepSeek V4 Flash | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1434 | — |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Pixtral Large: 32.9 (#278)
| Benchmark | DeepSeek V4 Flash | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1559 | 988 |
| LMArena Text | 1432 | — |
| LMArena Creative Writing | 1403 | — |
| LMArena Multi-Turn | 1449 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Pixtral Large?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 32.2 on the Noometry Index.
Which is cheaper, DeepSeek V4 Flash or Pixtral Large?
DeepSeek V4 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 Flash does, with 1M tokens against 128K.
How many benchmarks do DeepSeek V4 Flash and Pixtral Large share?
1 benchmark has published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Pixtral Large has 3.