DeepSeek-V3.2-Exp vs Kimi K3
DeepSeek-V3.2-Exp (DeepSeek) and Kimi K3 (Moonshot) compared on benchmarks, pricing, context window, and use-case rankings.
- Kimi K3 leads on overall intelligence (ECI 158 vs 145).
- DeepSeek-V3.2-Exp is cheaper on input tokens — $0.27 vs $2.10 per 1M.
- Kimi K3 has a larger context window (1M vs 164K tokens).
- Kimi K3 ranks higher for coding (97th vs 29th percentile).
| Attribute | DeepSeek-V3.2-Exp | Kimi K3 |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 145 | 158 |
| Coding | 29 | 97 |
| Math | 37 | 80 |
| Reasoning & Knowledge | 28 | 73 |
| Agentic & Tools | 9 | 80 |
| Specifications | ||
| Developer | DeepSeek | Moonshot |
| Family | DeepSeek | Kimi |
| Released | Sep 29, 2025 | Jul 16, 2026 |
| Parameters | — | 2.8T |
| Availability | Open weights (unrestricted) | Open weights (non-commercial) |
| Context window | 164K | 1M |
| Price — $/M input | $0.27 | $2.10 |
| Price — $/M output | $0.41 | $10.95 |
| Inputs | text | text, image, video |
| Outputs | text | text |
| Benchmarks | ||
| AIME 2024/2025 | 88% | 97% |
| GPQA Diamond | 80% | 93% |
| Humanity's Last Exam | 15% | 47% |
| LiveCodeBench | 79% | — |
| MMLU-Pro | 85% | — |
| SciCode | 38% | 60% |
| WebDev Arena | 1367 | 1674 |
| WeirdML | 39% | 83% |
| τ²-bench | 34% | — |
| APEX | — | 39% |
| ARC-AGI | — | 95% |
| ARC-AGI-2 | — | 60% |
| SimpleBench | — | 61% |
| SimpleQA Verified | — | 51% |
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.
Frequently asked questions
Is DeepSeek-V3.2-Exp better than Kimi K3?
On Epoch AI's Capabilities Index, Kimi K3 scores higher (158) than DeepSeek-V3.2-Exp (145). The right pick depends on your task — compare their coding, math, and reasoning scores in the table above.
Which is cheaper, DeepSeek-V3.2-Exp or Kimi K3?
DeepSeek-V3.2-Exp is cheaper on input tokens at $0.27 per million, versus $2.10 (representative OpenRouter pricing).
Which has a larger context window, DeepSeek-V3.2-Exp or Kimi K3?
Kimi K3 supports up to 1M tokens, compared with 164K for the other.
Which is better for coding, DeepSeek-V3.2-Exp or Kimi K3?
Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Kimi K3 ranks higher — 97th vs 29th percentile among the models tracked on Model Beat.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.