Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs GPT-5.5 Pro
GPT-5.5 Pro has enough public results to be ranked (#7); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeekSummary
- They share 1 benchmark with published results for both.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | GPT-5.5 Pro | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 39.7 | 64.3 |
| Released | 2024-05-07 | 2026-04-23 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $30 |
| Output $ / M tokens | — | $180 |
| Results tracked | 10 | 14 |
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Category by category
Coding Not comparable
DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141), GPT-5.5 Pro: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-5.5 Pro |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| BigCodeBench Complete | 59.4% | — |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-5.5 Pro: 73.6 (#7)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-5.5 Pro |
|---|---|---|
| Epoch Capabilities Index | 124.78 | 162.45 |
| ARC-AGI-2 | — | 84.6% |
| SimpleBench | — | 76.9% |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30.6% |
| Chess Puzzles | — | 64% |
| DTBench | — | 96% |
| LMCA | — | 53.9% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-5.5 Pro: 83.8 (#8)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 87.7% |
| FrontierMath Tier 4 | — | 78% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Tier 4 (v1) | — | 39.6% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-5.5 Pro: 64.2 (#17)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | — | 93.9% |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than GPT-5.5 Pro?
GPT-5.5 Pro has enough public results to be ranked (#7); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and GPT-5.5 Pro share?
1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and GPT-5.5 Pro has 14.