Head-to-head · 2026
Kimi K2.6 vs DeepSeek V4
Verdict. Kimi K2.6 edges the open-weights intelligence lead; DeepSeek V4 counters with MIT licensing, strong coding, and a deeper ecosystem. Both are self-hostable giants.
| Kimi K2.6 | DeepSeek V4 | |
|---|---|---|
| Provider | Moonshot AI | DeepSeek |
| Released | 2026-04-20 | 2026-04-24 |
| Context | 262K | 1M |
| Max output | 262K | 384K |
| Input /1M | $0.68 | $0.44 |
| Output /1M | $3.41 | $0.87 |
| Modalities | text, code, image, video | text, code |
The analysis
This is the fight for "best model you can actually download." Kimi K2.6 (Moonshot, ~1T-parameter MoE) holds the highest open-weights Artificial Analysis Intelligence Index at 54; DeepSeek V4 sits just behind at ~52 but pairs frontier-class coding (80.6% SWE-bench Verified) with a clean MIT license and broad tooling support.
For a pure intelligence ceiling among open weights, Kimi K2.6 is the pick. For coding-heavy pipelines, license clarity, and ecosystem maturity, DeepSeek V4 is the safer foundation. Both are large MoE models that need a multi-GPU server to self-host — neither is a single-consumer-GPU option.
Caveat: some of Kimi K2.6’s coding evals are vendor-reported; the Intelligence Index placement is the independently measured signal.
Pick Kimi K2.6 if…
- Highest open-weights intelligence (AA 54)
- General reasoning and agentic breadth
- You want the top downloadable model
Pick DeepSeek V4 if…
- Coding-heavy pipelines (SWE-bench lead)
- MIT license clarity and ecosystem maturity
- You want a proven self-host coding foundation
Kimi K2.6
The open-weight model that ties GPT-5.5-class coding at one-eighth the price.
DeepSeek V4
Open-weight frontier-class coding at one-sixth the price — MIT-licensed, 1M context, self-hostable.