Kimi K2.6 vs DeepSeek V4
The two open-weight coding models that reset the price-performance curve in April 2026 — compared head to head.
Kimi K2.6 vs DeepSeek V4: side-by-side
| Kimi K2.6 | DeepSeek V4-Pro | |
|---|---|---|
| Maker | Moonshot AI | DeepSeek |
| Released | 20 April 2026 | 24 April 2026 |
| Architecture | MoE · 1T params · 32B active | MoE · 1.6T params · 49B active |
| Context window | 262,144 tokens | 1,000,000 tokens |
| Modalities | Text, images, video | Text |
| API price (per 1M) | $0.60 in / $2.50 out | $1.74 in / $3.48 out |
| Licence | Modified MIT — open weights | MIT — open weights |
| Cheapest tier | — | V4-Flash · $0.14 / $0.28 |
Benchmark comparison
Both models are elite at coding, but they publish results on different test variants — so read the numbers as parallel strengths, not a direct race.
| Benchmark | Kimi K2.6 | DeepSeek V4-Pro |
|---|---|---|
| SWE-bench Pro | 58.6% | — |
| SWE-bench Verified | — | 80.6% |
| Codeforces rating | — | 3,206 |
| Humanity's Last Exam (tools) | 54.0% | — |
Key takeaway
DeepSeek V4-Pro's 3,206 Codeforces rating is the highest competitive-programming score of any model at release. Kimi K2.6 ties GPT-5.5 on SWE-bench Pro and leads on Humanity's Last Exam with tools. Both punch at the frontier from the open-weight side.
Price comparison
This is close, with a twist. On the top tier, Kimi K2.6 ($0.60/$2.50) undercuts DeepSeek V4-Pro ($1.74/$3.48) on input and is comparable on output. But DeepSeek also offers V4-Flash at $0.14/$0.28 — the cheapest capable model in this comparison by a wide margin. If absolute lowest cost is the goal and you can use a smaller model, V4-Flash wins; if you want the strongest single model cheaply, Kimi K2.6 is the value pick.
Licensing
Both ship open weights, with one difference. DeepSeek V4 uses a standard, unconditional MIT licence. Kimi K2.6 uses a modified MIT licence that behaves identically for almost everyone — the only added clause requires displaying "Kimi K2" branding if your product exceeds 100 million monthly active users or $20 million in monthly revenue. For the vast majority of teams, both are effectively unrestricted.
Which should you use?
- Largest context window → DeepSeek V4 (1M vs 262K tokens).
- Native multimodal input → Kimi K2.6 (text, images, video).
- Absolute lowest cost → DeepSeek V4-Flash ($0.14/$0.28).
- Best value top-tier model → Kimi K2.6 ($0.60/$2.50).
- Unconditional licence → DeepSeek V4 (pure MIT).
Full Kimi K2.6 overview Full DeepSeek V4 overview
Frequently asked questions
Is Kimi K2.6 better than DeepSeek V4?
Both are frontier-class open-weight coding models. Kimi K2.6 scores 58.6% on SWE-bench Pro and is cheaper on its top tier. DeepSeek V4-Pro scores 80.6% on SWE-bench Verified and has the highest Codeforces rating of any model at release (3,206), plus a larger 1M-token context window. They are measured on different test variants, so neither is a clean winner.
Which is cheaper?
DeepSeek V4-Flash is the cheapest at $0.14 / $0.28 per million input/output tokens. Kimi K2.6 costs $0.60 / $2.50 on Moonshot's official API. DeepSeek V4-Pro costs $1.74 / $3.48 — so for the top tier, Kimi K2.6 is cheaper on input but comparable on output.
Which has a bigger context window?
DeepSeek V4 has the bigger context window: 1 million tokens versus Kimi K2.6's 262,144 tokens.
Are both open source?
Both have open weights. DeepSeek V4 uses a standard MIT licence. Kimi K2.6 uses a modified MIT licence that adds a branding requirement only for products above 100 million monthly active users or $20 million in monthly revenue.