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MoonshotAI: Kimi K2.7 Code

moonshotai/kimi-k2.7-code

MoonshotAI: Kimi K2.7 Code is a 262,144-token model served on Composite at $0.750 per million tokens in and $3.75 per million tokens out. Ranked #56 of 179 models by traffic on Composite over the last 30 days, taking 0.12% of tokens and 0.08% of requests (this model and its routing variants). Measured on Composite, 100.0% of its last 7 requests on Composite succeeded, the typical first token arrives in 13268 ms, output runs at about 117.0 tokens per second.

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Specifications

Specifications and pricing as served by Composite
Model IDmoonshotai/kimi-k2.7-code
Providercv11
Context window262,144 tokens
Acceptstext, image
Returnstext
Input price$0.750 per million tokens
Output price$3.75 per million tokens
Prompt cachingSupported — cached input is billed at the provider's cache rate, on credits and plans alike
ThinkingAlways on for this model
ModeratedNo
Cost on a monthly planAbout 7.8 plan credits per typical call (8k in, 1k out)
Routing endpoints10 (base plus 9 routing variants)

Use MoonshotAI: Kimi K2.7 Code in JanitorAI or SillyTavern

Make a Composite API key and type moonshotai/kimi-k2.7-code as the model name. JanitorAI takes the full URL https://composite.lucidity.sh/v1/chat/completions; SillyTavern, ChubAI, Agnai and RisuAI take https://composite.lucidity.sh/v1. It runs on credits, a plan, or your own provider key.

JanitorAI setup · SillyTavern setup · Best Janitor AI proxies compared

Traffic rank on Composite

#56 of 179

0.12% of tokens and 0.08% of requests over 30 days, including routing variants.

Success rate

100.0%

Across the last 7 requests Composite served for this model.

Time to first token

13268 ms

Median across the same sample.

Output speed

117.0 tok/s

Median generation rate after the first token.

Routing variants

The same model behind 9 alternative endpoints. Call the id directly to pin a route; the base id above picks for you.

RouteModel IDProviderPrice
Normal moonshotai/kimi-k2.7-code-normal cv11 $0.750 per million tokens input · $4.38 per million tokens output
Normal + cheapThink moonshotai/kimi-k2.7-code-normal:cheapThink cv11 $0.750 per million tokens input · $4.38 per million tokens output
Cheapest provider moonshotai/kimi-k2.7-code:cheapest-provider CoreWeave $0.750 per million tokens input · $3.75 per million tokens output
Cheapest provider + cheapThink moonshotai/kimi-k2.7-code:cheapest-provider:cheapThink CoreWeave $0.750 per million tokens input · $3.75 per million tokens output
cheapThink moonshotai/kimi-k2.7-code:cheapThink cv11 $0.750 per million tokens input · $3.75 per million tokens output
Fast moonshotai/kimi-k2.7-code:fast CoreWeave $0.750 per million tokens input · $3.75 per million tokens output
Fast + cheapThink moonshotai/kimi-k2.7-code:fast:cheapThink CoreWeave $0.750 per million tokens input · $3.75 per million tokens output
Quality moonshotai/kimi-k2.7-code:quality SiliconFlow $1.07 per million tokens input · $4.75 per million tokens output
Quality + cheapThink moonshotai/kimi-k2.7-code:quality:cheapThink SiliconFlow $1.07 per million tokens input · $4.75 per million tokens output

Pricing

$0.750 per million tokens input · $3.75 per million tokens output

Credits pay the provider’s price plus 25%; cache hits cost less.

On a monthly plan, a typical call (8k tokens in, 1k out) uses about 7.8 plan credits, at the provider's own price.

Provider

cv11

Roleplay fit

Kimi models are tuned for long-context recall, which helps a roleplay stay consistent with events from many messages earlier.

Context behavior

With a 262,144-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.

Cost for regular use

It sits in the mid-range on price, a reasonable pick for regular roleplay use without going for the cheapest option available.

From the provider

MoonshotAI: 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...

Supplied by cv11, not written by Composite.