Model comparison
Deepseek Coder v2 vs GPT-5-Codex
GPT-5-Codex is the stronger model overall, scoring 37.3 to 35.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.0 to 22.6.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | GPT-5-Codex | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 35.3 | 37.3 |
| Released | 2024-06-17 | 2025-09-15 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 24 | 3 |
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Category by category
Coding GPT-5-Codex leads
Deepseek Coder v2: 37.5 (#178), GPT-5-Codex: 41.9 (#100)
| Benchmark | Deepseek Coder v2 | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Agentic & Tool Use Not comparable
Deepseek Coder v2: —, GPT-5-Codex: 30.8 (#66)
| Benchmark | Deepseek Coder v2 | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
Deepseek Coder v2: 22.6 (#175), GPT-5-Codex: 30.0 (#80)
| Benchmark | Deepseek Coder v2 | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| LMArena Hard Prompts | 1207 | — |
| WinoGrande | 83.7% | — |
Math Not comparable
Deepseek Coder v2: 32.3 (#188), GPT-5-Codex: —
| Benchmark | Deepseek Coder v2 | GPT-5-Codex |
|---|---|---|
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |
Knowledge Not comparable
Deepseek Coder v2: 31.7 (#209), GPT-5-Codex: —
| Benchmark | Deepseek Coder v2 | GPT-5-Codex |
|---|---|---|
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.4 (#235), GPT-5-Codex: —
| Benchmark | Deepseek Coder v2 | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1184 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Not comparable
Deepseek Coder v2: 61.9 (#237), GPT-5-Codex: —
| Benchmark | Deepseek Coder v2 | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#219), GPT-5-Codex: —
| Benchmark | Deepseek Coder v2 | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Not comparable
Deepseek Coder v2: 38.4 (#249), GPT-5-Codex: —
| Benchmark | Deepseek Coder v2 | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1176 | — |
Frequently asked questions
Is Deepseek Coder v2 better than GPT-5-Codex?
GPT-5-Codex is the stronger model overall, scoring 37.3 to 35.3 on the Noometry Index.
Is Deepseek Coder v2 or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 37.5 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and GPT-5-Codex share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and GPT-5-Codex has 3.