Model comparison
DeepSeek-V2.5 (Sep 2024) vs GPT-5.2 Pro
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 37.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 35.9.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Pro | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 37.6 | 52.3 |
| Released | 2024-09-06 | 2025-12-11 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $21 |
| Output $ / M tokens | — | $168 |
| Results tracked | 22 | 8 |
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Category by category
Coding Not comparable
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), GPT-5.2 Pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Pro |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1309 | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning GPT-5.2 Pro leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), GPT-5.2 Pro: 51.5 (#33)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Pro |
|---|---|---|
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| NYT Connections (extended) | — | 79.3% |
| ARC-AGI-1 | — | 90.5% |
| LMArena Hard Prompts | 1289 | — |
| Epoch Capabilities Index | — | 155.4 |
Math GPT-5.2 Pro leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), GPT-5.2 Pro: 65.3 (#29)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74% |
| FrontierMath Tier 4 | — | 46% |
| LMArena Math | 1288 | — |
| FrontierMath Tier 4 (v1) | — | 31.3% |
Knowledge Not comparable
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), GPT-5.2 Pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Pro |
|---|---|---|
| LMArena Expert | 1266 | — |
Multilingual Not comparable
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), GPT-5.2 Pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 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 Not comparable
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), GPT-5.2 Pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Pro |
|---|---|---|
| LMArena Instruction Following | 1280 | — |
Long Context Not comparable
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), GPT-5.2 Pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Pro |
|---|---|---|
| LMArena Longer Query | 1301 | — |
Writing & Preference Not comparable
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), GPT-5.2 Pro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Pro |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than GPT-5.2 Pro?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 37.6 on the Noometry Index.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and GPT-5.2 Pro share?
0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and GPT-5.2 Pro has 8.