Model comparison
Deepseek Coder v2 vs GPT-5.5 Pro
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 35.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 23.6.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | GPT-5.5 Pro | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 35.9 | 64.3 |
| Released | 2024-06-17 | 2026-04-23 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $30 |
| Output $ / M tokens | — | $180 |
| Results tracked | 24 | 14 |
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Category by category
Coding Not comparable
Deepseek Coder v2: 38.1 (#183), GPT-5.5 Pro: —
| Benchmark | Deepseek Coder v2 | GPT-5.5 Pro |
|---|---|---|
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning GPT-5.5 Pro leads
Deepseek Coder v2: 23.6 (#176), GPT-5.5 Pro: 73.3 (#10)
| Benchmark | Deepseek Coder v2 | GPT-5.5 Pro |
|---|---|---|
| ARC-AGI-2 | — | 84.6% |
| SimpleBench | — | 76.9% |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30.6% |
| Chess Puzzles | — | 64% |
| LMArena Hard Prompts | 1207 | — |
| DTBench | — | 96% |
| LMCA | — | 53.9% |
| Epoch Capabilities Index | — | 162.07 |
| WinoGrande | 83.7% | — |
Math GPT-5.5 Pro leads
Deepseek Coder v2: 34.9 (#190), GPT-5.5 Pro: 84.0 (#10)
| Benchmark | Deepseek Coder v2 | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 87.7% |
| FrontierMath Tier 4 | — | 78% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| LMArena Math | 1241 | — |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Tier 4 (v1) | — | 39.6% |
| GSM8K | 94.5% | — |
Knowledge GPT-5.5 Pro leads
Deepseek Coder v2: 32.3 (#212), GPT-5.5 Pro: 64.1 (#19)
| Benchmark | Deepseek Coder v2 | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | — | 93.9% |
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), GPT-5.5 Pro: —
| Benchmark | Deepseek Coder v2 | GPT-5.5 Pro |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Not comparable
Deepseek Coder v2: 61.7 (#242), GPT-5.5 Pro: —
| Benchmark | Deepseek Coder v2 | GPT-5.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#224), GPT-5.5 Pro: —
| Benchmark | Deepseek Coder v2 | GPT-5.5 Pro |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Not comparable
Deepseek Coder v2: 38.2 (#253), GPT-5.5 Pro: —
| Benchmark | Deepseek Coder v2 | GPT-5.5 Pro |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1177 | — |
Frequently asked questions
Is Deepseek Coder v2 better than GPT-5.5 Pro?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 35.9 on the Noometry Index.
How many benchmarks do Deepseek Coder v2 and GPT-5.5 Pro share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and GPT-5.5 Pro has 14.