MoonshotAI: Kimi K2.6 is a 262,144-token model served on Composite at $0.487 per million tokens in and $2.25 per million tokens out. Ranked #10 of 179 models by traffic on Composite over the last 30 days, taking 1.41% of tokens and 1.15% of requests (this model and its routing variants). 2 up and 0 down from 2 votes. A positive score is published once a model reaches 5 votes. Measured on Composite, 100.0% of its last 100 requests on Composite succeeded, the typical first token arrives in 29782 ms, output runs at about 305.6 tokens per second.
—2 up and 0 down from 2 votes. A positive score is published once a model reaches 5 votes.
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Specifications
Specifications and pricing as served by Composite
Model ID
moonshotai/kimi-k2.6
Provider
cv11
Context window
262,144 tokens
Accepts
text, image
Returns
text
Input price
$0.487 per million tokens
Output price
$2.25 per million tokens
Prompt caching
Supported — cached input is billed at the provider's cache rate, on credits and plans alike
Moderated
No
Cost on a monthly plan
About 4.9 plan credits per typical call (8k in, 1k out)
Routing endpoints
10 (base plus 9 routing variants)
Use MoonshotAI: Kimi K2.6 in JanitorAI or SillyTavern
Make a Composite API key and type moonshotai/kimi-k2.6 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.
1.41% of tokens and 1.15% of requests over 30 days, including routing variants.
Success rate
100.0%
Across the last 100 requests Composite served for this model.
Time to first token
29782 ms
Median across the same sample.
Output speed
305.6 tok/s
Median generation rate after the first token.
Prompt cache hits
46.1%
Share of prompt tokens served from the provider's cache over 7 days.
Routing variants
The same model behind 9 alternative endpoints. Call the id directly to pin a route; the base id above picks for you.
Route
Model ID
Provider
Price
Normal
moonshotai/kimi-k2.6-normal
cv11
$0.813 per million tokens input · $4.26 per million tokens output
Normal + cheapThink
moonshotai/kimi-k2.6-normal:cheapThink
cv11
$0.813 per million tokens input · $4.26 per million tokens output
Cheapest provider
moonshotai/kimi-k2.6:cheapest-provider
Chutes
$0.487 per million tokens input · $2.25 per million tokens output
Cheapest provider + cheapThink
moonshotai/kimi-k2.6:cheapest-provider:cheapThink
Chutes
$0.487 per million tokens input · $2.25 per million tokens output
cheapThink
moonshotai/kimi-k2.6:cheapThink
cv11
$0.487 per million tokens input · $2.25 per million tokens output
Fast
moonshotai/kimi-k2.6:fast
Chutes
$0.487 per million tokens input · $2.25 per million tokens output
Fast + cheapThink
moonshotai/kimi-k2.6:fast:cheapThink
Chutes
$0.487 per million tokens input · $2.25 per million tokens output
Quality
moonshotai/kimi-k2.6:quality
Crusoe
$0.875 per million tokens input · $4.38 per million tokens output
Quality + cheapThink
moonshotai/kimi-k2.6:quality:cheapThink
Crusoe
$0.875 per million tokens input · $4.38 per million tokens output
Pricing
$0.487 per million tokens input · $2.25 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 4.9 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 is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.
From the provider
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...