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DeepSeek-V4-Pro-0813 vs Kimi K2
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| Attribute | DeepSeek-V4-Pro-0813 | Kimi K2 |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 155 | 140 |
| Coding | 75 | 8 |
| Math | 88 | 4 |
| Reasoning & Knowledge | 69 | 12 |
| Agentic & Tools | 67 | 14 |
| Specifications | ||
| Developer | DeepSeek | Moonshot |
| Family | DeepSeek | Kimi |
| Released | Aug 13, 2026 | Sep 5, 2025 |
| Parameters | 1.6T | 1T |
| Availability | Open weights (unrestricted) | Open weights (restricted use) |
| Context window | 1M | 131K |
| Price — $/M input | $0.58 | $0.57 |
| Price — $/M output | $1.74 | $2.30 |
| Inputs | text | text |
| Outputs | text | text |
| Benchmarks | ||
| AIME 2024/2025 | 99% | 57% |
| APEX | 47% | — |
| ARC-AGI | 91% | — |
| ARC-AGI-2 | 61% | — |
| GPQA Diamond | 92% | 77% |
| Humanity's Last Exam | 41% | 7% |
| SciCode | 51% | 35% |
| SimpleQA Verified | 53% | — |
| WebDev Arena | 1581 | — |
| WeirdML | 66% | 39% |
| GSO (code optimization) | — | 5% |
| LiveCodeBench | — | 56% |
| MMLU-Pro | — | 82% |
| SimpleBench | — | 26% |
| Terminal-Bench | — | 28% |
| τ²-bench | — | 61% |
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.