Model comparison
DeepSeek V4 Flash vs Mistral Large 4
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 43.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 15 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 6 categories and Mistral Large 4 in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 22.5.
- The biggest single-benchmark swing is NYT Connections (extended): 89.6% for DeepSeek V4 Flash and 27.4% for Mistral Large 4.
- DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 1M.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Flash | Mistral Large 4 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 53.6 | 43.1 |
| Released | 2026-04-24 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 393K | 262K |
| Input $ / M tokens | $0.15 | $0.68 |
| Output $ / M tokens | $0.60 | $2.09 |
| Results tracked | 41 | 15 |
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Category by category
Coding Too close to call
DeepSeek V4 Flash: 47.9 (#59), Mistral Large 4: 48.6 (#57)
| Benchmark | DeepSeek V4 Flash | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1582 | 1541 |
| LMArena Coding | 1457 | 1475 |
| FrontierCode | 18.8% | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Mistral Large 4: 22.5 (#192)
| Benchmark | DeepSeek V4 Flash | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | 89.6% | 27.4% |
| LMArena Hard Prompts | 1444 | 1444 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.49 | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Mistral Large 4: 40.4 (#91)
| Benchmark | DeepSeek V4 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1427 | 1488 |
| 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% | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Mistral Large 4: 36.6 (#166)
| Benchmark | DeepSeek V4 Flash | Mistral Large 4 |
|---|---|---|
| SimpleQA Verified | 33.6% | 20% |
| LMArena Expert | 1441 | 1447 |
| GPQA Diamond | 91% | — |
Multilingual Too close to call
DeepSeek V4 Flash: 53.0 (#72), Mistral Large 4: 52.6 (#82)
| Benchmark | DeepSeek V4 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1420 | 1415 |
| LMArena Chinese | 1468 | 1491 |
| LMArena Russian | 1428 | 1414 |
| LMArena French | 1439 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Spanish | 1436 | — |
Instruction Following Too close to call
DeepSeek V4 Flash: 74.9 (#81), Mistral Large 4: 75.0 (#76)
| Benchmark | DeepSeek V4 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1421 | 1424 |
Long Context Too close to call
DeepSeek V4 Flash: 43.8 (#85), Mistral Large 4: 43.6 (#89)
| Benchmark | DeepSeek V4 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1434 | 1429 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Mistral Large 4: 60.4 (#97)
| Benchmark | DeepSeek V4 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1432 | 1427 |
| LMArena Creative Writing | 1403 | 1361 |
| LMArena Multi-Turn | 1449 | 1424 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Mistral Large 4?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 43.1 on the Noometry Index.
Which is cheaper, DeepSeek V4 Flash or Mistral Large 4?
DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is DeepSeek V4 Flash or Mistral Large 4 better for coding?
They score almost the same on coding (47.9 vs 48.6); test both on your own repository before choosing.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 1M.
How many benchmarks do DeepSeek V4 Flash and Mistral Large 4 share?
15 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Mistral Large 4 has 15.