Model comparison
DeepSeek-V2.5 (Sep 2024) vs o1-pro
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 31.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in knowledge, where DeepSeek-V2.5 (Sep 2024) leads 34.2 to 29.3.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2.5 (Sep 2024) | o1-pro | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 37.0 | 31.2 |
| Released | 2024-09-06 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $150 |
| Output $ / M tokens | — | $600 |
| Results tracked | 22 | 3 |
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Category by category
Coding Not comparable
DeepSeek-V2.5 (Sep 2024): 31.3 (#274), o1-pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1310 | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 24.5 (#145), o1-pro: 20.2 (#223)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| ARC-AGI-1 | — | 23.3% |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1289 | — |
Math Not comparable
DeepSeek-V2.5 (Sep 2024): 33.3 (#177), o1-pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| LMArena Math | 1289 | — |
Knowledge DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 34.2 (#190), o1-pro: 29.3 (#227)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| Humanity's Last Exam | — | 8.1% |
| LMArena Expert | 1266 | — |
Multilingual Not comparable
DeepSeek-V2.5 (Sep 2024): 42.7 (#188), o1-pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena Chinese | 1317 | — |
| LMArena French | 1288 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |
Instruction Following Not comparable
DeepSeek-V2.5 (Sep 2024): 67.7 (#189), o1-pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1280 | — |
Long Context Not comparable
DeepSeek-V2.5 (Sep 2024): 39.5 (#169), o1-pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| LMArena Longer Query | 1301 | — |
Writing & Preference Not comparable
DeepSeek-V2.5 (Sep 2024): 50.0 (#182), o1-pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | o1-pro |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than o1-pro?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 31.2 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.