Model comparison
DeepSeek V4 Flash vs Mistral 7B
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 23.0 on the Noometry Index.
Last verified . 21 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 21 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 8.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.4% for DeepSeek V4 Flash and 0.3% for Mistral 7B.
- Both cost about the same: $0.15 input and $0.60 output per million tokens.
- DeepSeek V4 Flash accepts more context: 1M tokens versus 8K.
Side by side
| DeepSeek V4 Flash | Mistral 7B | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 53.6 | 23.0 |
| Released | 2026-04-24 | 2023-09-27 |
| Weights | Open | Open |
| Context window | 1M | 8K |
| Max output | 393K | 8K |
| Input $ / M tokens | $0.15 | $0.25 |
| Output $ / M tokens | $0.60 | $0.25 |
| Results tracked | 41 | 37 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Mistral 7B: 26.4 (#326)
| Benchmark | DeepSeek V4 Flash | Mistral 7B |
|---|---|---|
| LMArena Coding | 1457 | 1082 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 1,306 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Mistral 7B: 13.1 (#336)
| Benchmark | DeepSeek V4 Flash | Mistral 7B |
|---|---|---|
| Chess Puzzles | 33% | 0% |
| LMArena Hard Prompts | 1444 | 1067 |
| DTBench | 90.9% | 42.5% |
| Epoch Capabilities Index | 154.49 | 112.21 |
| 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% | — |
| Mystery Game Puzzles | 34% | — |
| LMCA | 41.7% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Mistral 7B: 8.1 (#325)
| Benchmark | DeepSeek V4 Flash | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.4% | 0.3% |
| LMArena Math | 1427 | 1085 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| ProofBench | 56% | — |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Mistral 7B: 7.4 (#311)
| Benchmark | DeepSeek V4 Flash | Mistral 7B |
|---|---|---|
| GPQA Diamond | 91% | 15.2% |
| LMArena Expert | 1441 | 1036 |
| SimpleQA Verified | 33.6% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.0 (#72), Mistral 7B: 25.8 (#283)
| Benchmark | DeepSeek V4 Flash | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1420 | 1012 |
| LMArena Chinese | 1468 | 1009 |
| LMArena French | 1439 | 1037 |
| LMArena German | 1418 | 987 |
| LMArena Japanese | 1406 | 878 |
| LMArena Russian | 1428 | 1018 |
| LMArena Spanish | 1436 | 1026 |
| LMArena Korean | 1384 | — |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 74.9 (#81), Mistral 7B: 54.2 (#280)
| Benchmark | DeepSeek V4 Flash | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1421 | 1060 |
Long Context DeepSeek V4 Flash leads
DeepSeek V4 Flash: 43.8 (#85), Mistral 7B: 32.2 (#271)
| Benchmark | DeepSeek V4 Flash | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1434 | 1060 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Mistral 7B: 30.7 (#286)
| Benchmark | DeepSeek V4 Flash | Mistral 7B |
|---|---|---|
| LMArena Text | 1432 | 1090 |
| LMArena Creative Writing | 1403 | 1068 |
| LMArena Multi-Turn | 1449 | 1062 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Mistral 7B?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 23.0 on the Noometry Index.
Which is cheaper, DeepSeek V4 Flash or Mistral 7B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; DeepSeek V4 Flash lists at $0.15 and $0.60.
Is DeepSeek V4 Flash or Mistral 7B better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4 Flash does, with 1M tokens against 8K.
How many benchmarks do DeepSeek V4 Flash and Mistral 7B share?
21 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Mistral 7B has 37.