Kimi K2 Thinking Turbo is Moonshot AI's user-facing reasoning model. It delivers chain-of-thought thinking at turbo-speed latency for interactive products where deliberation quality and response time both shape the experience.
import { streamText } from 'ai'
const result = streamText({ model: 'moonshotai/kimi-k2-thinking-turbo', prompt: 'Why is the sky blue?'})Kimi K2 Thinking Turbo applies Kimi K2 Thinking's chain-of-thought reasoning at turbo-speed latency. The distinction from Kimi K2 Turbo (no thinking) and Kimi K2 Thinking (full thinking budget) is the combination: deliberation happens, but under time pressure. The model allocates a compressed reasoning budget per request and produces output faster than standard thinking mode.
This tradeoff serves interactive applications: coding assistants, tutoring interfaces, research tools, and reasoning-enabled chatbots. Users want the model to think through problems but will abandon the session if responses take too long. The turbo thinking configuration avoids the binary choice between "fast but non-reasoning" and "reasoning but slow." For problems that benefit from deliberation but don't require the full thinking budget, Kimi K2 Thinking Turbo sits in the middle.
The model keeps K2 Thinking's tool-use and multi-step reasoning pipeline support. Applications that chain reasoning steps together (verifying a conclusion, planning then executing, or synthesizing information from multiple tool calls) run at turbo latency without switching to a non-thinking endpoint.
Kimi K2 Thinking Turbo supports a context window of 262.1K tokens and is available through AI Gateway at $1.15 per million input tokens and $8 per million output tokens.