# DeepSeek-V2.5 (Sep 2024) vs o1-mini

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 33.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-o1-mini
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 3 categories and o1-mini in 5 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V2.5 (Sep 2024) leads 24.5 to 8.9.
- The biggest single-benchmark swing is Aider Polyglot: 17.8% for DeepSeek-V2.5 (Sep 2024) and 32.9% for o1-mini.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | o1-mini |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 37.0 | 33.7 |
| Rank | 197 | 230 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- o1-mini: 35.1 (#218)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-mini |
|---|---|---|
| Aider Polyglot | 17.8% | 32.9% |
| LMArena Coding | 1310 | 1362 |
| HumanEval+ | 83.5% | 89% |
| MBPP+ | 74.1% | 78.8% |
| WeirdML | — | 36.3% |
| BigCodeBench Instruct | 48.6% | — |
| LiveBench Coding | — | 48% |
| BigCodeBench Complete | 53.2% | — |

## Agentic & Tool Use

- DeepSeek-V2.5 (Sep 2024): —
- o1-mini: 24.3 (#112)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-mini |
|---|---|---|
| Cybench | — | 10% |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- o1-mini: 8.9 (#340)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-mini |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1333 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 18.1% |
| ARC-AGI-1 | — | 14% |
| LiveBench Reasoning | — | 72.3% |
| LiveBench Data Analysis | — | 57.9% |
| Epoch Capabilities Index | — | 135.82 |
| LiveBench | — | 57.8% |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- o1-mini: 33.7 (#168)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-mini |
|---|---|---|
| LMArena Math | 1289 | 1358 |
| OTIS Mock AIME 2024-2025 | — | 46.9% |
| LiveBench Math | — | 62% |
| MATH Level 5 | — | 89.2% |
| FrontierMath (Feb 2025 set) | — | 1.7% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- o1-mini: 34.8 (#180)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-mini |
|---|---|---|
| LMArena Expert | 1266 | 1316 |
| GPQA Diamond | — | 62.4% |
| Confabulations | — | 18.6% |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- o1-mini: 43.8 (#177)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-mini |
|---|---|---|
| LMArena Non-English | 1273 | 1289 |
| LMArena Chinese | 1317 | 1314 |
| LMArena French | 1288 | 1292 |
| LMArena German | 1258 | 1278 |
| LMArena Japanese | 1228 | 1245 |
| LMArena Korean | 1209 | 1223 |
| LMArena Russian | 1289 | 1283 |
| LMArena Spanish | 1248 | 1302 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- o1-mini: 67.0 (#200)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1280 | 1304 |
| LiveBench Instruction Following | — | 65.4% |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- o1-mini: 40.1 (#156)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-mini |
|---|---|---|
| LMArena Longer Query | 1301 | 1321 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- o1-mini: 48.6 (#196)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-mini |
|---|---|---|
| LMArena Text | 1294 | 1317 |
| LMArena Creative Writing | 1285 | 1244 |
| LMArena Multi-Turn | 1297 | 1314 |
| Short-Story Creative Writing | — | 64.9% |
| LiveBench Language | — | 40.9% |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than o1-mini?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 33.7 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or o1-mini better for coding?

o1-mini scores higher on coding benchmarks: 35.1 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and o1-mini share?

20 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and o1-mini has 39.