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DeepSeek-V3.2-Exp vs DeepSeek-V4-Pro-0813
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| Attribute | DeepSeek-V3.2-Exp | DeepSeek-V4-Pro-0813 |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 145 | 155 |
| Coding | 29 | 76 |
| Math | 38 | 88 |
| Reasoning & Knowledge | 29 | 69 |
| Agentic & Tools | 8 | 67 |
| Specifications | ||
| Developer | DeepSeek | DeepSeek |
| Family | DeepSeek | DeepSeek |
| Released | Sep 29, 2025 | Aug 13, 2026 |
| Parameters | — | 1.6T |
| Availability | Open weights (unrestricted) | Open weights (unrestricted) |
| Context window | 164K | 1M |
| Price — $/M input | $0.27 | $0.58 |
| Price — $/M output | $0.41 | $1.74 |
| Inputs | text | text |
| Outputs | text | text |
| Benchmarks | ||
| AIME 2024/2025 | 88% | 99% |
| GPQA Diamond | 80% | 92% |
| Humanity's Last Exam | 15% | 41% |
| LiveCodeBench | 79% | — |
| MMLU-Pro | 85% | — |
| SciCode | 38% | 51% |
| WebDev Arena | 1367 | 1581 |
| WeirdML | 39% | 66% |
| τ²-bench | 34% | — |
| APEX | — | 47% |
| ARC-AGI | — | 91% |
| ARC-AGI-2 | — | 61% |
| SimpleQA Verified | — | 53% |
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.