Model comparison
DeepSeek Coder 33B vs GPT-5.2 Pro
GPT-5.2 Pro has enough public results to be ranked (#34); DeepSeek Coder 33B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both.
- DeepSeek Coder 33B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek Coder 33B | GPT-5.2 Pro | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 38.3 | 52.2 |
| Released | 2023-11-02 | 2025-12-11 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $21 |
| Output $ / M tokens | — | $168 |
| Results tracked | 9 | 8 |
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Category by category
Coding Not comparable
DeepSeek Coder 33B: 37.4 (#180), GPT-5.2 Pro: —
| Benchmark | DeepSeek Coder 33B | GPT-5.2 Pro |
|---|---|---|
| BigCodeBench Instruct | 42% | — |
| BigCodeBench Complete | 51.1% | — |
| HumanEval+ | 75% | — |
| MBPP+ | 70.1% | — |
Reasoning Not comparable
DeepSeek Coder 33B: —, GPT-5.2 Pro: 51.8 (#31)
| Benchmark | DeepSeek Coder 33B | GPT-5.2 Pro |
|---|---|---|
| Epoch Capabilities Index | 95.74 | 155.41 |
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| NYT Connections (extended) | — | 79.3% |
| ARC-AGI-1 | — | 90.5% |
| WinoGrande | 62% | — |
Math Not comparable
DeepSeek Coder 33B: —, GPT-5.2 Pro: 64.8 (#23)
| Benchmark | DeepSeek Coder 33B | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74% |
| FrontierMath Tier 4 | — | 46% |
| FrontierMath Tier 4 (v1) | — | 31.3% |
| GSM8K | 35.4% | — |
Knowledge Not comparable
DeepSeek Coder 33B: —, GPT-5.2 Pro: —
| Benchmark | DeepSeek Coder 33B | GPT-5.2 Pro |
|---|---|---|
| ARC (AI2) Challenge | 42.2% | — |
| MMLU | 39.4% | — |
Frequently asked questions
Is DeepSeek Coder 33B better than GPT-5.2 Pro?
GPT-5.2 Pro has enough public results to be ranked (#34); DeepSeek Coder 33B does not yet, so treat this comparison as directional.
How many benchmarks do DeepSeek Coder 33B and GPT-5.2 Pro share?
1 benchmark has published results for both models. DeepSeek Coder 33B has 9 scored results on Noometry and GPT-5.2 Pro has 8.