Model comparison
DeepSeek-V2.5 (Sep 2024) vs GPT-5.3 Codex
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 37.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 31.3.
- 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 Codex | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 37.0 | 45.5 |
| Released | 2024-09-06 | 2026-02-05 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 22 | 8 |
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Category by category
Coding GPT-5.3 Codex leads
DeepSeek-V2.5 (Sep 2024): 31.3 (#274), GPT-5.3 Codex: 48.5 (#51)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Codex |
|---|---|---|
| SWE-bench Verified | — | 74.8% |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1408 |
| WeirdML | — | 79.3% |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1310 | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 1,655 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2.5 (Sep 2024): —, GPT-5.3 Codex: 47.8 (#9)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | — | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |
Reasoning Not comparable
DeepSeek-V2.5 (Sep 2024): 24.5 (#145), GPT-5.3 Codex: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Codex |
|---|---|---|
| LMArena Hard Prompts | 1289 | — |
| Epoch Capabilities Index | — | 156.84 |
Math Not comparable
DeepSeek-V2.5 (Sep 2024): 33.3 (#177), GPT-5.3 Codex: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Codex |
|---|---|---|
| LMArena Math | 1289 | — |
Knowledge Not comparable
DeepSeek-V2.5 (Sep 2024): 34.2 (#190), GPT-5.3 Codex: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Codex |
|---|---|---|
| LMArena Expert | 1266 | — |
Multilingual Not comparable
DeepSeek-V2.5 (Sep 2024): 42.7 (#188), GPT-5.3 Codex: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Codex |
|---|---|---|
| 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), GPT-5.3 Codex: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Codex |
|---|---|---|
| LMArena Instruction Following | 1280 | — |
Long Context Not comparable
DeepSeek-V2.5 (Sep 2024): 39.5 (#169), GPT-5.3 Codex: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1301 | — |
Writing & Preference Not comparable
DeepSeek-V2.5 (Sep 2024): 50.0 (#182), GPT-5.3 Codex: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than GPT-5.3 Codex?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 37.0 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or GPT-5.3 Codex better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 31.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and GPT-5.3 Codex share?
0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and GPT-5.3 Codex has 8.