Model comparison
DeepSeek Coder 6.7B vs Mistral Large
Mistral Large has enough public results to be ranked (#263); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Last verified . 6 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 6 benchmarks with published results for both. DeepSeek Coder 6.7B scores higher in 1 category and Mistral Large in 0 categories; one gap is clear of the uncertainty.
- The biggest single-benchmark swing is BigCodeBench Complete: 43.8% for DeepSeek Coder 6.7B and 38.3% for Mistral Large.
Side by side
| DeepSeek Coder 6.7B | Mistral Large | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 37.6 | 31.9 |
| Released | 2023-11-02 | 2024-02-26 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 9 | 51 |
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Category by category
Coding DeepSeek Coder 6.7B leads
DeepSeek Coder 6.7B: 35.8 (#219), Mistral Large: 34.3 (#240)
| Benchmark | DeepSeek Coder 6.7B | Mistral Large |
|---|---|---|
| BigCodeBench Instruct | 35.5% | 30% |
| BigCodeBench Complete | 43.8% | 38.3% |
| HumanEval+ | 71.3% | 62.2% |
| MBPP+ | 65.6% | 59.5% |
| SciCode | — | 36.2% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| ALE-Bench | — | 264.7 |
Agentic & Tool Use Not comparable
DeepSeek Coder 6.7B: —, Mistral Large: 28.6 (#89)
| Benchmark | DeepSeek Coder 6.7B | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Not comparable
DeepSeek Coder 6.7B: —, Mistral Large: 15.8 (#310)
| Benchmark | DeepSeek Coder 6.7B | Mistral Large |
|---|---|---|
| Epoch Capabilities Index | 89.62 | 128.52 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
| WinoGrande | 57.6% | — |
Math Not comparable
DeepSeek Coder 6.7B: —, Mistral Large: 18.2 (#291)
| Benchmark | DeepSeek Coder 6.7B | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
| GSM8K | 21.3% | — |
Knowledge Not comparable
DeepSeek Coder 6.7B: —, Mistral Large: 30.1 (#230)
| Benchmark | DeepSeek Coder 6.7B | Mistral Large |
|---|---|---|
| MMLU | 36.4% | 80% |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| ARC (AI2) Challenge | 36.4% | — |
Multilingual Not comparable
DeepSeek Coder 6.7B: —, Mistral Large: 40.0 (#219)
| Benchmark | DeepSeek Coder 6.7B | Mistral Large |
|---|---|---|
| LMArena Non-English | — | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Not comparable
DeepSeek Coder 6.7B: —, Mistral Large: 67.9 (#191)
| Benchmark | DeepSeek Coder 6.7B | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
| LMArena Instruction Following | — | 1249 |
Long Context Not comparable
DeepSeek Coder 6.7B: —, Mistral Large: 38.3 (#199)
| Benchmark | DeepSeek Coder 6.7B | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |
Writing & Preference Not comparable
DeepSeek Coder 6.7B: —, Mistral Large: 40.7 (#242)
| Benchmark | DeepSeek Coder 6.7B | Mistral Large |
|---|---|---|
| LMArena Text | — | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LMArena Multi-Turn | — | 1260 |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is DeepSeek Coder 6.7B better than Mistral Large?
Mistral Large has enough public results to be ranked (#263); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 6.7B or Mistral Large better for coding?
DeepSeek Coder 6.7B scores higher on coding benchmarks: 35.8 versus 34.3 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 6.7B and Mistral Large share?
6 benchmarks have published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Mistral Large has 51.