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Kimi K2 0711 pricing and routing profile

Kimi K2 0711 from Moonshot AI lists at $0.57 per million input tokens and $2.30 per million output tokens, with a 131,072-token context window. Prices from OpenRouter's catalogue on 2026-09-28.

Input, per 1M tokens$0.57
Output, per 1M tokens$2.30
Context window131K
Confidence signalNot exposed

Tool calling

Cost per 1,000 requests

Request shapeList cost
Classification or routing (600 tokens in, 10 out)$0.365
Chat reply (2,000 in, 400 out)$2.06
Retrieval-augmented answer (8,000 in, 500 out)$5.71

Before prompt caching. Try your own shape in the cost calculator.

Can Gimbix route to it first?

Not as a first-answer model through OpenRouter: no host returns token log probabilities for Kimi K2 0711. It can still be the model Gimbix falls back to when a cheaper model is unsure.

Cheaper models that can answer first

Models priced below Kimi K2 0711 that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.

ModelInput / output per 1MCheaper on a chat reply
R1 0528$0.50 / $2.1510%
Kimi K2.5$0.45 / $2.2513%
Qwen3.6 Plus$0.325 / $1.9531%
DeepSeek V4 Flash Vision Exp$0.44 / $1.3232%
Qwen3 235B A22B Thinking 2507$0.23 / $2.3033%
Qwen3.5-122B-A10B$0.26 / $2.0834%

Questions

How much does Kimi K2 0711 cost?

Kimi K2 0711 lists at $0.57 per million input tokens and $2.30 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $2.06 per 1,000 requests.

What is the context window of Kimi K2 0711?

131,072 tokens.

Can a cheaper model replace Kimi K2 0711?

Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match Kimi K2 0711 on one half of your requests and make at most three answers worse on the other.