Model comparison
DeepSeek LLM 67B vs Mistral Small 3.2
Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 24.9 on the Noometry Index.
Last verified . 4 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 4 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Mistral Small 3.2 in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small 3.2 leads 26.7 to 7.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 30.3% for Mistral Small 3.2.
Side by side
| DeepSeek LLM 67B | Mistral Small 3.2 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 24.9 | 31.2 |
| Released | 2023-11-29 | 2025-06-20 |
| Weights | Open | Open |
| Context window | — | 256K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.0938 |
| Output $ / M tokens | — | $0.25 |
| Results tracked | 15 | 6 |
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Category by category
Coding Not comparable
DeepSeek LLM 67B: 31.9 (#278), Mistral Small 3.2: —
| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| LMArena Coding | 1096 | — |
Reasoning Mistral Small 3.2 leads
DeepSeek LLM 67B: 16.5 (#304), Mistral Small 3.2: 18.1 (#287)
| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| Epoch Capabilities Index | 110.5 | 131.74 |
| Kagi LLM Benchmark | — | 40.4% |
| LMArena Hard Prompts | 1070 | — |
Math Mistral Small 3.2 leads
DeepSeek LLM 67B: 8.7 (#324), Mistral Small 3.2: 26.3 (#260)
| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 30.3% |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
Knowledge Mistral Small 3.2 leads
DeepSeek LLM 67B: 7.0 (#313), Mistral Small 3.2: 26.7 (#256)
| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 24.6% | 49.1% |
Multilingual Not comparable
DeepSeek LLM 67B: 29.4 (#267), Mistral Small 3.2: —
| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following Not comparable
DeepSeek LLM 67B: 55.4 (#277), Mistral Small 3.2: —
| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#265), Mistral Small 3.2: —
| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference Mistral Small 3.2 leads
DeepSeek LLM 67B: 31.6 (#282), Mistral Small 3.2: 45.0 (#224)
| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1082 | — |
Frequently asked questions
Is DeepSeek LLM 67B better than Mistral Small 3.2?
Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 24.9 on the Noometry Index.
How many benchmarks do DeepSeek LLM 67B and Mistral Small 3.2 share?
4 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Mistral Small 3.2 has 6.