Model comparison
DeepSeek-V2.5 (Sep 2024) vs GPT-5.3 Chat
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 37.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 49.8.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Chat | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 37.6 | 42.8 |
| Released | 2024-09-06 | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 16K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 22 | 18 |
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Category by category
Coding GPT-5.3 Chat leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), GPT-5.3 Chat: 41.4 (#124)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1309 | 1408 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning GPT-5.3 Chat leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), GPT-5.3 Chat: 28.5 (#102)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1399 |
Math GPT-5.3 Chat leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), GPT-5.3 Chat: 38.2 (#142)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1288 | 1389 |
Knowledge GPT-5.3 Chat leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), GPT-5.3 Chat: 38.8 (#140)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1266 | 1397 |
Multilingual GPT-5.3 Chat leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), GPT-5.3 Chat: 50.3 (#124)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1273 | 1382 |
| LMArena Chinese | 1318 | 1432 |
| LMArena French | 1289 | 1397 |
| LMArena German | 1258 | 1384 |
| LMArena Japanese | 1228 | 1352 |
| LMArena Korean | 1209 | 1346 |
| LMArena Russian | 1289 | 1400 |
| LMArena Spanish | 1248 | 1371 |
Instruction Following GPT-5.3 Chat leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), GPT-5.3 Chat: 72.8 (#129)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1280 | 1378 |
Long Context GPT-5.3 Chat leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), GPT-5.3 Chat: 42.6 (#120)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1301 | 1396 |
Writing & Preference GPT-5.3 Chat leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), GPT-5.3 Chat: 63.1 (#68)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1294 | 1389 |
| LMArena Creative Writing | 1285 | 1355 |
| LMArena Multi-Turn | 1297 | 1412 |
| EQ-Bench Creative Writing | — | 1690 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than GPT-5.3 Chat?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or GPT-5.3 Chat better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and GPT-5.3 Chat share?
17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and GPT-5.3 Chat has 18.