# DeepSeek LLM 67B vs Mistral Nemo

> Mistral Nemo is the stronger model overall, scoring 26.4 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-mistral-nemo
- Last updated: 2026-10-11
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 1 category and Mistral Nemo in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Nemo leads 25.5 to 8.7.
- The biggest single-benchmark swing is GPQA Diamond: 24.6% for DeepSeek LLM 67B and 29.9% for Mistral Nemo.

## Snapshot

| | DeepSeek LLM 67B | Mistral Nemo |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 24.9 | 26.4 |
| Rank | 347 | 337 |
| Context | — | 128K |
| Input $/M | — | $0.15 |
| Output $/M | — | $0.15 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- Mistral Nemo: —

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

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- Mistral Nemo: 23.5 (#125)

| Benchmark | DeepSeek LLM 67B | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- Mistral Nemo: 20.7 (#232)

| Benchmark | DeepSeek LLM 67B | Mistral Nemo |
|---|---|---|
| Epoch Capabilities Index | 110.5 | 118.68 |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1070 | — |
| DTBench | — | 48.6% |
| PIQA | — | 83.5% |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- Mistral Nemo: 25.5 (#268)

| Benchmark | DeepSeek LLM 67B | Mistral Nemo |
|---|---|---|
| MATH Level 5 | 6.4% | 10.8% |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| LMArena Math | 1108 | — |
| GSM8K | — | 84.2% |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- Mistral Nemo: 12.3 (#298)

| Benchmark | DeepSeek LLM 67B | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 24.6% | 29.9% |
| BoolQ | — | 82.5% |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- Mistral Nemo: —

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

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- Mistral Nemo: —

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

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- Mistral Nemo: —

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

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- Mistral Nemo: 28.5 (#296)

| Benchmark | DeepSeek LLM 67B | Mistral Nemo |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1082 | — |

## FAQ

### Is DeepSeek LLM 67B better than Mistral Nemo?

Mistral Nemo is the stronger model overall, scoring 26.4 to 24.9 on the Noometry Index.

### How many benchmarks do DeepSeek LLM 67B and Mistral Nemo share?

3 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Mistral Nemo has 10.