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

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-o1-pro
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where DeepSeek-V2.5 (Sep 2024) leads 25.6 to 20.4.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 37.6 | 31.5 |
| Rank | 200 | 271 |
| Context | — | 200K |
| Input $/M | — | $150 |
| Output $/M | — | $600 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- o1-pro: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1309 | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
- o1-pro: 20.4 (#239)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| ARC-AGI-1 | — | 23.3% |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1289 | — |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- o1-pro: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| LMArena Math | 1288 | — |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- o1-pro: 29.7 (#234)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| Humanity's Last Exam | — | 8.1% |
| LMArena Expert | 1266 | — |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- o1-pro: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena Chinese | 1318 | — |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
- o1-pro: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1280 | — |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- o1-pro: —

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

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- o1-pro: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |

## FAQ

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

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.5 on the Noometry Index.

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

0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and o1-pro has 3.