Model comparison
DeepSeek LLM 67B vs Mistral Medium 3.1
Mistral Medium 3.1 is the stronger model overall, scoring 31.9 to 24.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in writing & preference, where Mistral Medium 3.1 leads 55.5 to 31.6.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek LLM 67B | Mistral Medium 3.1 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 24.9 | 31.9 |
| Released | 2023-11-29 | — |
| Weights | Open | Proprietary |
| Context window | — | 131K |
| Max output | — | 105K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $2 |
| Results tracked | 15 | 3 |
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Category by category
Coding Not comparable
DeepSeek LLM 67B: 31.9 (#278), Mistral Medium 3.1: —
| Benchmark | DeepSeek LLM 67B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Coding | 1096 | — |
Reasoning DeepSeek LLM 67B leads
DeepSeek LLM 67B: 16.5 (#304), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | DeepSeek LLM 67B | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | — | 6.5% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1070 | — |
| Epoch Capabilities Index | 110.5 | — |
Math Not comparable
DeepSeek LLM 67B: 8.7 (#324), Mistral Medium 3.1: —
| Benchmark | DeepSeek LLM 67B | Mistral Medium 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
Knowledge Not comparable
DeepSeek LLM 67B: 7.0 (#313), Mistral Medium 3.1: —
| Benchmark | DeepSeek LLM 67B | Mistral Medium 3.1 |
|---|---|---|
| GPQA Diamond | 24.6% | — |
Multilingual Not comparable
DeepSeek LLM 67B: 29.4 (#267), Mistral Medium 3.1: —
| Benchmark | DeepSeek LLM 67B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following Not comparable
DeepSeek LLM 67B: 55.4 (#277), Mistral Medium 3.1: —
| Benchmark | DeepSeek LLM 67B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#265), Mistral Medium 3.1: —
| Benchmark | DeepSeek LLM 67B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference Mistral Medium 3.1 leads
DeepSeek LLM 67B: 31.6 (#282), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | DeepSeek LLM 67B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| EQ-Bench Creative Writing | — | 1476 |
| LMArena Multi-Turn | 1082 | — |
Frequently asked questions
Is DeepSeek LLM 67B better than Mistral Medium 3.1?
Mistral Medium 3.1 is the stronger model overall, scoring 31.9 to 24.9 on the Noometry Index.
How many benchmarks do DeepSeek LLM 67B and Mistral Medium 3.1 share?
0 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Mistral Medium 3.1 has 3.