# Deepseek Coder v2 vs o4-mini

> o4-mini is the stronger model overall, scoring 41.6 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-o4-mini
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 0 categories and o4-mini in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o4-mini leads 54.0 to 38.2.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.

## Snapshot

| | Deepseek Coder v2 | o4-mini |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 35.9 | 41.6 |
| Rank | 220 | 132 |
| Context | — | 200K |
| Input $/M | — | $1.10 |
| Output $/M | — | $4.40 |
| Weights | Open | Proprietary |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- o4-mini: 40.9 (#127)

| Benchmark | Deepseek Coder v2 | o4-mini |
|---|---|---|
| LMArena Coding | 1251 | 1368 |
| SWE-bench Verified (bash only) | — | 45% |
| Aider Polyglot | — | 72% |
| GSO | — | 3.6% |
| WeirdML | — | 52.6% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| CadEval | — | 62% |
| ALE-Bench | — | 826.17 |
| AlgoTune | — | 1.72 |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Agentic & Tool Use

- Deepseek Coder v2: —
- o4-mini: 32.6 (#61)

| Benchmark | Deepseek Coder v2 | o4-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 53.2% |
| GDPval | — | 25.3% |
| METR Time Horizons | — | 63.9% |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- o4-mini: 24.6 (#162)

| Benchmark | Deepseek Coder v2 | o4-mini |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1351 |
| ARC-AGI-2 | — | 6.1% |
| SimpleBench | — | 38.7% |
| Kagi LLM Benchmark | — | 67.6% |
| ARC-AGI-1 | — | 58.7% |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 26% |
| EnigmaEval | — | 9.2% |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 77.6% |
| LMCA | — | 26.5% |
| Epoch Capabilities Index | — | 145.64 |
| ForecastBench | — | 61.8 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- o4-mini: 40.8 (#89)

| Benchmark | Deepseek Coder v2 | o4-mini |
|---|---|---|
| LMArena Math | 1241 | 1389 |
| FrontierMath (Tiers 1-3) | — | 36.1% |
| FrontierMath Tier 4 | — | 4.9% |
| OTIS Mock AIME 2024-2025 | — | 81.7% |
| Omni-MATH | — | 72% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 24.8% |
| FrontierMath Tier 4 (v1) | — | 6.3% |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- o4-mini: 43.6 (#91)

| Benchmark | Deepseek Coder v2 | o4-mini |
|---|---|---|
| LMArena Expert | 1181 | 1343 |
| GPQA Diamond | — | 79.6% |
| Humanity's Last Exam | — | 18.1% |
| SimpleQA Verified | — | 19.6% |
| MMLU-Pro | — | 82% |
| Confabulations | — | 15.8% |
| Vectara Hallucination Rate | — | 18.6% |
| GPQA (HELM) | — | 73.5% |
| ARC (AI2) Challenge | 64.3% | — |

## Multimodal

- Deepseek Coder v2: —
- o4-mini: 40.2 (#49)

| Benchmark | Deepseek Coder v2 | o4-mini |
|---|---|---|
| LMArena Vision | — | 1194 |
| GeoBench | — | 64% |
| VPCT | — | 57.5% |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- o4-mini: 47.0 (#154)

| Benchmark | Deepseek Coder v2 | o4-mini |
|---|---|---|
| LMArena Non-English | 1182 | 1337 |
| LMArena Chinese | 1201 | 1354 |
| LMArena French | 1185 | 1364 |
| LMArena German | 1164 | 1336 |
| LMArena Japanese | 1126 | 1308 |
| LMArena Korean | 1104 | 1312 |
| LMArena Russian | 1188 | 1334 |
| LMArena Spanish | 1153 | 1347 |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- o4-mini: 75.2 (#68)

| Benchmark | Deepseek Coder v2 | o4-mini |
|---|---|---|
| LMArena Instruction Following | 1180 | 1321 |
| IFEval | — | 92.8% |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- o4-mini: 45.5 (#33)

| Benchmark | Deepseek Coder v2 | o4-mini |
|---|---|---|
| LMArena Longer Query | 1219 | 1315 |
| Fiction.LiveBench | — | 77.8% |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- o4-mini: 54.0 (#152)

| Benchmark | Deepseek Coder v2 | o4-mini |
|---|---|---|
| LMArena Text | 1191 | 1353 |
| LMArena Creative Writing | 1120 | 1294 |
| LMArena Multi-Turn | 1177 | 1350 |
| Short-Story Creative Writing | — | 75% |
| WildBench | — | 85.4% |

## FAQ

### Is Deepseek Coder v2 better than o4-mini?

o4-mini is the stronger model overall, scoring 41.6 to 35.9 on the Noometry Index.

### Is Deepseek Coder v2 or o4-mini better for coding?

o4-mini scores higher on coding benchmarks: 40.9 versus 38.1 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and o4-mini share?

17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and o4-mini has 60.