# DeepSeek Coder 33B vs Mistral Medium

> Mistral Medium has enough public results to be ranked (#211); DeepSeek Coder 33B does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-coder-33b-vs-mistral-medium
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where DeepSeek Coder 33B leads 37.4 to 33.8.

## Snapshot

| | DeepSeek Coder 33B | Mistral Medium |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 38.3 | 36.0 |
| Rank | — | 211 |
| Context | — | 262K |
| Input $/M | — | $1.50 |
| Output $/M | — | $7.50 |
| Weights | Open | Open |

## Coding

- DeepSeek Coder 33B: 37.4 (#180)
- Mistral Medium: 33.8 (#241)

| Benchmark | DeepSeek Coder 33B | Mistral Medium |
|---|---|---|
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| BigCodeBench Instruct | 42% | — |
| LMArena Coding | — | 1434 |
| BigCodeBench Complete | 51.1% | — |
| ALE-Bench | — | 763.98 |
| HumanEval+ | 75% | — |
| MBPP+ | 70.1% | — |

## Agentic & Tool Use

- DeepSeek Coder 33B: —
- Mistral Medium: 28.1 (#84)

| Benchmark | DeepSeek Coder 33B | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |

## Reasoning

- DeepSeek Coder 33B: —
- Mistral Medium: 23.3 (#165)

| Benchmark | DeepSeek Coder 33B | Mistral Medium |
|---|---|---|
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| LMArena Hard Prompts | — | 1426 |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 95.74 | — |
| WinoGrande | 62% | — |

## Math

- DeepSeek Coder 33B: —
- Mistral Medium: 27.2 (#238)

| Benchmark | DeepSeek Coder 33B | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| LMArena Math | — | 1409 |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
| GSM8K | 35.4% | — |

## Knowledge

- DeepSeek Coder 33B: —
- Mistral Medium: 24.9 (#260)

| Benchmark | DeepSeek Coder 33B | Mistral Medium |
|---|---|---|
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
| LMArena Expert | — | 1408 |
| ARC (AI2) Challenge | 42.2% | — |
| MMLU | 39.4% | — |

## Multimodal

- DeepSeek Coder 33B: —
- Mistral Medium: 34.6 (#82)

| Benchmark | DeepSeek Coder 33B | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |

## Multilingual

- DeepSeek Coder 33B: —
- Mistral Medium: 52.3 (#86)

| Benchmark | DeepSeek Coder 33B | Mistral Medium |
|---|---|---|
| LMArena Non-English | — | 1408 |
| LMArena Chinese | — | 1448 |
| LMArena French | — | 1460 |
| LMArena German | — | 1433 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1382 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1433 |

## Instruction Following

- DeepSeek Coder 33B: —
- Mistral Medium: 73.9 (#111)

| Benchmark | DeepSeek Coder 33B | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | — | 1398 |

## Long Context

- DeepSeek Coder 33B: —
- Mistral Medium: 42.9 (#108)

| Benchmark | DeepSeek Coder 33B | Mistral Medium |
|---|---|---|
| LMArena Longer Query | — | 1406 |

## Writing & Preference

- DeepSeek Coder 33B: —
- Mistral Medium: 60.2 (#97)

| Benchmark | DeepSeek Coder 33B | Mistral Medium |
|---|---|---|
| LMArena Text | — | 1424 |
| LMArena Creative Writing | — | 1391 |
| Short-Story Creative Writing | — | 77.3% |
| LMArena Multi-Turn | — | 1418 |

## FAQ

### Is DeepSeek Coder 33B better than Mistral Medium?

Mistral Medium has enough public results to be ranked (#211); DeepSeek Coder 33B does not yet, so treat this comparison as directional.

### Is DeepSeek Coder 33B or Mistral Medium better for coding?

DeepSeek Coder 33B scores higher on coding benchmarks: 37.4 versus 33.8 in the Noometry coding category.

### How many benchmarks do DeepSeek Coder 33B and Mistral Medium share?

0 benchmarks have published results for both models. DeepSeek Coder 33B has 9 scored results on Noometry and Mistral Medium has 36.
