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Chinese AI labs · Coding

Kimi K2.7 Code Highspeed

Same weights as kimi-k2.7-code at exactly 2x the price — only worth it when interactive latency, not cost, is the constraint.

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

Model ID kimi-k2.7-code-highspeed

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
$1.90 per 1M tokens
Output price
$8.00 per 1M tokens
Cached input
$0.38 per 1M tokens
Blended price
$3.425 per 1M tokens3:1 input to output
Knowledge cutoff
Not recorded
Released
Not recorded
Status
ga
Size band
120B and above

License and openness

Kimi K2.7 Code Highspeed 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 Highspeed costs $3.42 per million tokens blended. A workload of one million input and 330,000 output tokens per day would run about $136.20 per month at list price, before caching or batch discounts.

Cost at list price

Input$1.90 per 1M tokens
Output$8.00 per 1M tokens
Cached input$0.38 per 1M tokens
Blended, 3:1$3.425 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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