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MoonshotAI: Kimi K2 Thinking

moonshotai/kimi-k2-thinking

MoonshotAI: Kimi K2 Thinking is a 262,144-token model served on Composite at $0.750 per million tokens in and $3.13 per million tokens out. Ranked #75 of 194 models by traffic on Composite over the last 30 days, taking 0.07% of tokens and 0.05% of requests.

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Specifications

Specifications and pricing as served by Composite
Model IDmoonshotai/kimi-k2-thinking
Providercv11
Context window262,144 tokens
Acceptstext
Returnstext
Input price$0.750 per million tokens
Output price$3.13 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 7.3 plan credits per typical call (8k in, 1k out)
Routing endpoints2 (base plus 1 routing variant)

Traffic rank on Composite

#75 of 194

0.07% of tokens and 0.05% of requests over 30 days.

Routing variants

The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.

RouteModel IDProviderPrice
cheapThink moonshotai/kimi-k2-thinking:cheapThink cv11 $0.750 per million tokens input · $3.13 per million tokens output

Pricing

$0.750 per million tokens input · $3.13 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 7.3 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

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...

Supplied by cv11, not written by Composite.