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DeepSeek-V4-Pro-0813 vs Kimi K2 Thinking
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| Attribute | DeepSeek-V4-Pro-0813 | Kimi K2 Thinking |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 155 | 146 |
| Coding | 76 | 37 |
| Math | 88 | 18 |
| Reasoning & Knowledge | 69 | 32 |
| Agentic & Tools | 67 | 23 |
| Specifications | ||
| Developer | DeepSeek | Moonshot |
| Family | DeepSeek | Kimi |
| Released | Aug 13, 2026 | Nov 6, 2025 |
| Parameters | 1.6T | 1T |
| Availability | Open weights (unrestricted) | Open weights (restricted use) |
| Context window | 1M | 262K |
| Price — $/M input | $0.58 | $0.60 |
| Price — $/M output | $1.74 | $2.50 |
| Inputs | text | text |
| Outputs | text | text |
| Benchmarks | ||
| AIME 2024/2025 | 99% | 83% |
| APEX | 47% | 4% |
| ARC-AGI | 91% | — |
| ARC-AGI-2 | 61% | — |
| GPQA Diamond | 92% | 84% |
| Humanity's Last Exam | 41% | 24% |
| SciCode | 51% | 42% |
| SimpleQA Verified | 53% | 32% |
| WebDev Arena | 1581 | 1337 |
| WeirdML | 66% | 43% |
| FrontierMath | — | 21% |
| FrontierMath Tier 4 | — | 0% |
| LiveCodeBench | — | 85% |
| METR task horizon | — | 54 min |
| MMLU-Pro | — | 85% |
| Terminal-Bench | — | 36% |
| τ²-bench | — | 93% |
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.