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Kimi K2.7 Code HighSpeed

moonshotai/kimi-k2.7-code-highspeed

high-speed long-horizon coding with vision.

cmd --model moonshotai/kimi-k2.7-code-highspeed
Intelligence index
not yet scored
Output speed
not yet scored
Input
$1.90 /M
Output
$8 /M
Cache read
$0.38 /M
Agent-loop cost
$0.84 /M in
Context window
262K tokens
Released
Modalities

vs. the lineup

Kimi K2.7 Code HighSpeed beside its stablemates and nearest rivals. The ◆ marks the best value in each column across every row shown.

pin a rival:
ModelIntelligenceCodingSpeedInput $/MOutput $/MBlended $/MContext
Kimi K359.776.239.4$3$15$61M
Muse Spark 1.256.872.2$1.25$4.25$21.05M
Kimi K2.645.161.8$0.95$4$1.71256K
Kimi K2.7 Code4360.840.5$0.95$4$1.71256K
Kimi K2.53646.8$0.60$3$1.20256K
Kimi K2.7 Code HighSpeed$1.90$8$3.42262K
DeepSeek V4 Pro (latest)pinned45.359.463.3$0.66$1.98$0.991M
DeepSeek V4 Flash (latest)pinned5269.1115.9$0.22$0.66$0.331M

usage calculator

How far a month of credits goes on Kimi K2.7 Code HighSpeed.

Input tokensfresh prompt
800
Output tokensmodel reply
180
Cache read tokensre-read context
50K
cost / request $0.022 · in $1.90 · out $8 · cache $0.38 per M
fresh input 7%output 7%cache reads 87%
Requests / 30 days
455
$10 credits ÷ $0.022 per request
~91 quick fixes~18 bug fixes~3 feature PRs

what real work costs

Real coding tasks priced end to end on Kimi K2.7 Code HighSpeed, from a quick lookup to a full-repo agent run.

One agent task
$0.23
180K in at 75% cache hit, 12K out
What you pay
$1.21 /M
all-in across every token that task touched
Sticker input
$1.90 /M
cache reads bill at $0.38 /M instead
TaskTokens in · outKimi K2.7 Code HighSpeedMuse Spark 1.2Claude Haiku 4.5
Quick lookup / one-liner8K · 1K$0.01$0.0063$0.0065
Review a 500-line PR60K · 4K$0.08$0.05$0.04
Fix a bug (agent loop)180K · 12K$0.23$0.13$0.12
Refactor a module320K · 20K$0.42$0.23$0.21
Full-repo agent run900K · 45K$1$0.54$0.49

frequently asked

What is Kimi K2.7 Code HighSpeed best for?
Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts architecture that accepts text and image input, and it always operates in a thinking mode, preserving full reasoning content across multi-turn conversations. With a 256K-token context window, it targets long-horizon coding, agentic task decomposition, and multi-turn dialogue. The model activates 32B parameters out of roughly 1T total.
How much does Kimi K2.7 Code HighSpeed cost?
$1.90/M input and $8/M output, cache reads $0.38/M. In an agent loop most input is cache-read, so the effective input rate is about $0.84/M.
Which plan do I need?
Available on Go and above.
How do I switch to it?
Run cmd --model moonshotai/kimi-k2.7-code-highspeed, or type /model in a session and pick it. You can switch mid-session without losing context.

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Benchmarks from Artificial Analysis (v4.1)commandcode.ai/models/kimi-k2-7-code-highspeed