Side-by-side comparison of DeepSeek V3.2 (DeepSeek · China) and Kimi-K2.6 (Moonshot AI · China) for self-hosted deployment of the open-weight model. DeepSeek V3.2 is rated conditional; Kimi-K2.6 is conditional. They part ways on licence: DeepSeek V3.2 is "MIT", Kimi-K2.6 is "Modified MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional 685B successor to V3 with DeepSeek Sparse Attention for long context, scalable RL for agentic tasks. Vendor claims parity with GPT-5 (Speciale variant exceeds). MIT licence keeps weights clean; Chinese-origin considerations unchanged. | Conditional Per the published LICENSE file, Kimi-K2.6 ships under a Modified MIT licence: identical to standard MIT for almost all deployers, with an additional UI-attribution requirement only for products exceeding 100M monthly active users or USD 20M monthly revenue. The genuine EU-readiness concerns are the China-based vendor and the absence of any training-data disclosure rather than the licence itself. |
| Last reviewed | 2026-04-15 | 2026-04-28 |
| Open-weight | ||
| Licence | MIT | Modified MIT |
| Commercial use | Yes | Attribution at scale |
| Training data | Undisclosed | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 32/100 | 54/100 |
| Speed | 32 tok/s | — |
| Blended price | $0.32/M | $1.71/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.