# DeepSeek LLM 67B vs Mistral Small 3.2

> Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-mistral-small-3-2
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- 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 26.8 to 7.1.
- 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.

## Snapshot

| | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 24.8 | 30.8 |
| Rank | 341 | 271 |
| Context | — | 256K |
| Input $/M | — | $0.0938 |
| Output $/M | — | $0.25 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- Mistral Small 3.2: —

| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| LMArena Coding | 1096 | — |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- Mistral Small 3.2: 17.5 (#282)

| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| Epoch Capabilities Index | 110.54 | 131.73 |
| Kagi LLM Benchmark | — | 40.4% |
| LMArena Hard Prompts | 1070 | — |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- Mistral Small 3.2: 24.9 (#251)

| 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

- DeepSeek LLM 67B: 7.1 (#308)
- Mistral Small 3.2: 26.8 (#249)

| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 24.6% | 49.1% |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- Mistral Small 3.2: —

| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- Mistral Small 3.2: —

| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1079 | — |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- Mistral Small 3.2: —

| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1092 | — |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- Mistral Small 3.2: 45.1 (#219)

| Benchmark | DeepSeek LLM 67B | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1082 | — |

## FAQ

### Is DeepSeek LLM 67B better than Mistral Small 3.2?

Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 24.8 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.