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DeepSeek-V4-Pro-0813 vs GPT-5.2
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| Attribute | DeepSeek-V4-Pro-0813 | GPT-5.2 |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 155 | 153 |
| Coding | 76 | 62 |
| Math | 88 | 77 |
| Reasoning & Knowledge | 69 | 53 |
| Agentic & Tools | 67 | 66 |
| Specifications | ||
| Developer | DeepSeek | OpenAI |
| Family | DeepSeek | GPT |
| Released | Aug 13, 2026 | Dec 11, 2025 |
| Parameters | 1.6T | — |
| Availability | Open weights (unrestricted) | API access |
| Context window | 1M | 400K |
| Price — $/M input | $0.58 | $1.75 |
| Price — $/M output | $1.74 | $14.00 |
| Inputs | text | file, image, text |
| Outputs | text | text |
| Benchmarks | ||
| AIME 2024/2025 | 99% | 96% |
| APEX | 47% | 34% |
| ARC-AGI | 91% | 86% |
| ARC-AGI-2 | 61% | 53% |
| GPQA Diamond | 92% | 91% |
| Humanity's Last Exam | 41% | 28% |
| SciCode | 51% | 52% |
| SimpleQA Verified | 53% | 37% |
| WebDev Arena | 1581 | 1480 |
| WeirdML | 66% | 72% |
| FrontierMath | — | 41% |
| FrontierMath Tier 4 | — | 19% |
| GDPval (win/tie rate) | — | 71% |
| GSO (code optimization) | — | 27% |
| LiveCodeBench | — | 89% |
| METR task horizon | — | 5.9 h |
| MMLU-Pro | — | 87% |
| SimpleBench | — | 46% |
| SWE-bench Verified | — | 74% |
| Terminal-Bench | — | 65% |
| τ²-bench | — | 85% |
Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.