MoonshotAI: Kimi K2 Thinking
Analysis Summary
MoonshotAI's Kimi K2 Thinking is a reasoning-focused text model with a 262K context window and a strong combination of coding, mathematical, tool-use, and function-calling performance. Its long-context capability supports large repositories, extensive specifications, and multi-document analysis. The model is text-only in the supplied data, so visual workflows would require a separate component.
For Design for Online, it is a strong candidate for software engineering, autonomous task execution, technical research, and structured workflows that require repeated tool calls. High instruction-following and long-context results support client-facing analysis and complex content planning, while the agentic profile is especially useful for multi-step operations. Its pricing is higher than budget specialists, and general review remains appropriate for high-risk actions.
Adopt Kimi K2 Thinking for demanding coding and agent work where depth and context justify the cost.
Assessed August 9, 2026
Editorial notes
Kimi K2 Thinking pairs strong reasoning with excellent coding, a 262K context window, and exceptional tool-use and function-calling results. Its pricing is above value tiers, but the capability profile fits demanding engineering and agent workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Kimi K2 Thinking pairs strong reasoning with excellent coding, a 262K context window, and exceptional tool-use and function-calling results. Its pricing is above value tiers, but the capability profile fits demanding engineering and agent workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
33.5 Intelligence Index·94.7 Math Index
How MoonshotAI: Kimi K2 Thinking compares
MoonshotAI: Kimi K2 Thinking ranks #99 of 420 AI models we track for overall intelligence. Its 262K-token context window is larger than 74% of the models we list. At $0.60 per million input tokens it is cheaper than 35% 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?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 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.
