MoonshotAI: Kimi K2 Thinking
Analysis Summary
MoonshotAI's Kimi K2 Thinking is a reasoning-oriented text model with a 262K context window, tool use, and function calling. It records strong results across mathematics, coding, instruction following, long-context reasoning, and agentic evaluation, making it well suited to demanding multi-step technical work.
The model can support software engineering, repository analysis, research agents, structured planning, and tool-driven workflows that require sustained reasoning over large inputs. Its general intelligence remains below the leading frontier models, and the relatively high output price makes it less attractive for routine bulk generation. Client-facing prose should still pass through editorial review.
Adopt it for high-value coding and agent tasks where reliability matters more than token minimisation. Route simple classification and routine copy to a cheaper model.
Assessed September 7, 2026
Editorial notes
Kimi K2 Thinking delivers strong coding, mathematics, long-context, and agentic results with a 262K context and function calling. Its higher output price and below-frontier general reasoning make it a specialist choice for demanding technical workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Kimi K2 Thinking delivers strong coding, mathematics, long-context, and agentic results with a 262K context and function calling. Its higher output price and below-frontier general reasoning make it a specialist choice for demanding technical workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
22 Intelligence Index·94.7 Math Index
How MoonshotAI: Kimi K2 Thinking compares
MoonshotAI: Kimi K2 Thinking ranks #128 of 443 AI models we track for overall intelligence. Its 262K-token context window is larger than 69% of the models we list. At $0.60 per million input tokens it is cheaper than 36% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.60 | $0.000600 |
| Output | $2.50 | $0.002500 |
What would MoonshotAI: Kimi K2 Thinking cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 798 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save MoonshotAI: Kimi K2 Thinking for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MoonshotAI: Kimi K2 Thinking
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..
Frequently asked questions about MoonshotAI: Kimi K2 Thinking
How much does MoonshotAI: Kimi K2 Thinking cost?
MoonshotAI: Kimi K2 Thinking costs $0.60 per million input tokens and $2.50 per million output tokens.
What is the context window of MoonshotAI: Kimi K2 Thinking?
MoonshotAI: Kimi K2 Thinking has a context window of 262,144 tokens (262K).
What can MoonshotAI: Kimi K2 Thinking do?
MoonshotAI: Kimi K2 Thinking supports tool use and function calling.
Who created MoonshotAI: Kimi K2 Thinking?
MoonshotAI: Kimi K2 Thinking is developed by MoonshotAI and was released on November 6, 2025.