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Chinese AI labs · Coding

Kimi K2.7 Code

The value pick for autonomous coding agents — roughly a third of K3's input cost and a quarter of its output cost, with 256k context and weights you can self-host under Modified MIT.

Open weights · Permissive (Apache, MIT, OpenMDW) · Data checked September 6, 2026 · Not a hands-on evaluation

Model ID kimi-k2.7-code

Parameters
1T total · 32B active1T total / 32B active MoE
Architecture
Mixture of experts
Context window
262,144 tokensMaximum input
Max output
Not recordedPer response
Input price
$0.95 per 1M tokens
Output price
$4.00 per 1M tokens
Cached input
$0.19 per 1M tokens
Blended price
$1.7125 per 1M tokens3:1 input to output
Knowledge cutoff
Not recorded
Released
2026-06
Status
ga
Size band
120B and above

License and openness

Kimi K2.7 Code is released under the Modified MIT. This is a permissive license. It generally allows use, modification and redistribution, including commercial use, subject to attribution and notice requirements. License terms can change between versions; confirm the text published with the weights you download.

Capabilities

Input modalitiestext
Output modalitiestext

What it is for

At a three-to-one input-to-output ratio, Kimi K2.7 Code costs $1.71 per million tokens blended. A workload of one million input and 330,000 output tokens per day would run about $68.10 per month at list price, before caching or batch discounts.

Cost at list price

Input$0.95 per 1M tokens
Output$4.00 per 1M tokens
Cached input$0.19 per 1M tokens
Blended, 3:1$1.7125 per 1M tokens
Estimate a workload across all models ↗

Sources

Sources checked September 6, 2026. Specifications and prices change without notice; confirm against the provider before you commit.

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