specs at a glance
| Leaderboard rank | #12 of 13 |
|---|---|
| SWE-bench Verified | 80.2% |
| SWE-bench Pro | 58.6% |
| Terminal-Bench | — |
| Input price / 1M | $0.95 |
| Output price / 1M | $4 |
| Context window | — |
| Open weights | Yes |
| Access | Open weights · API |
| Maker | Moonshot AI |
how good is Kimi K2.6 at coding?
Kimi K2.6 sits at #12 of 13 ranked models, posting 80.2% on SWE-bench Verified — 16 points behind #1 GPT-5.6 Sol. On the harder SWE-bench Pro it scores 58.6%.
Score provenance: Vendor-reported (10-run average on Moonshot's own SWE-agent harness). Independent comparison: vals.ai's bash-only harness measures Kimi K2.6 at 76.2% ±1.91, 4 points lower. Price: official Moonshot API $0.95/$4 per 1M (cache-hit input $0.16).
what does Kimi K2.6 cost?
$0.95 per 1M input tokens and $4 per 1M output — #3 cheapest of the 13 models we track. Coding workloads are output-heavy, so weight the output rate when budgeting. Run your own volume through the AI API cost calculator for a monthly estimate.
where can you use it?
Available via Open weights · API. Because it ships open weights, you can also self-host it on your own hardware or any inference provider — with the version pinned so the model can't change under you.
- Moonshot AIMoonshot AI — Kimi K2.6 (Hugging Face)
Ranked on our AI Coding Leaderboard — scores confirmed against primary sources only, updated 2026-07-17.