Kimi K2.6

Apr 2026
Kimi K2.6
Compare in
on
$0.71per task?
$0.95 / $4per 1M in / outcache $0.16
98 tok/sfirst token in 2.6 s?
256Kcontext

Alternatives?

Run it yourself

estimate
Fits on✗ 8 GB (phone, laptop)✗ 16 GB✗ 24 GB GPU✗ 48 GB GPU✗ 80 GB GPU
Licencemodified-mitcommercial use with conditions

Benchmarks

in Coding
SciCode51.5#46
LiveCodeBenchlab89.6
Terminal Bench 2.0lab66.7
SWE Verifiedlab80.2
SWE-bench Pro (edition unstated)lab58.6
SWE Multilinguallab76.7

FAQ

How much does Kimi K2.6 cost?›

$0.95 per 1M input tokens and $4 per 1M output tokens; cached input $0.16 per 1M; cheapest via Chutes at $0.45 / $1.95. A typical benchmark task costs about $0.71 at default effort.

Is Kimi K2.6 free to use?›

There is no free API; the cheapest paid price is $0.45 per 1M input tokens. The weights are open, so you can run it yourself.

How good is Kimi K2.6, and what is it best at?›

#57 of 336 in Chat & Knowledge, #65 of 134 in Coding, #75 of 135 in Agents & Tool Use, #40 of 197 in Writing & Language, #24 of 125 in Vision & Documents. Strongest at: Tool calling, Reasoning, Science, Long context, Knowledge, Instructions, Vision.

Is Kimi K2.6 better than GPT-5.4 Mini?›

On DeepSWE 1, Kimi K2.6 scores 23.9 vs 24.3 — about the same. It is 90% more expensive per task.

How can I use Kimi K2.6?›

Through the API of AtlasCloud, Azure AI Foundry, Chutes, Cloudflare, CoreWeave and 9 more.

What is the context window of Kimi K2.6?›

256K tokens, with up to 236K output tokens.

When was Kimi K2.6 released? Is there a newer version?›

Released 2026-04-20. It has been superseded by Kimi K3.

Is Kimi K2.6 open source?›

Yes, the weights are open (modified-mit licence).

Can I run Kimi K2.6 locally?›

The weights are open and can be self-hosted; hardware needs are not confirmed yet.

Can Kimi K2.6 read images?›

It accepts text and images as input.

What is Kimi K2.6?›

Kimi K2.6 is an open-weights language model from Moonshot AI, released Apr 2026, the successor to Kimi K2.5.

What are the best alternatives to Kimi K2.6?›

MiniMax M3 (cheaper), GPT-5.5 (better), GLM 5.2 (open weights).