Analysis Summary
MoonshotAI Kimi K2.6 is a benchmarked model with strong coding capability and practical tool support. It accepts text and images, provides a 262K context window, and includes function calling, making it useful for software tasks, visual analysis, and multi-step workflow automation. Its general reasoning is strong but below the newest frontier systems.
The model is a good fit for coding agents, technical content, interface or screenshot analysis, and client workflows that benefit from combining visual input with structured actions. Its agentic performance is less dominant than its coding result, so autonomous execution should use explicit state management and verification. Pricing is moderate, with output tokens costing more than budget models.
Adopt K2.6 as a specialist engineering and multimodal option. It offers meaningful capability for practical workflows, but premium reasoning tasks may warrant a newer flagship.
Assessed August 23, 2026
Editorial notes
Kimi K2.6 combines excellent coding with vision, a 262K context window, and tool calling for agentic workflows, while its general reasoning trails newer frontier models.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Kimi K2.6 combines excellent coding with vision, a 262K context window, and tool calling for agentic workflows, while its general reasoning trails newer frontier models.
How MoonshotAI: Kimi K2.6 compares
MoonshotAI: Kimi K2.6 ranks #46 of 433 AI models we track for overall intelligence, #43 of 206 for coding, #59 of 188 for agentic tasks. Its 262K-token context window is larger than 72% of the models we list. At $0.95 per million input tokens it is cheaper than 28% 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 | $0.95 | $0.000950 |
| Output | $4.00 | $0.004000 |
What would MoonshotAI: Kimi K2.6 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 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save MoonshotAI: Kimi K2.6 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MoonshotAI: Kimi K2.6
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and..
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Frequently asked questions about MoonshotAI: Kimi K2.6
How much does MoonshotAI: Kimi K2.6 cost?
MoonshotAI: Kimi K2.6 costs $0.95 per million input tokens and $4.00 per million output tokens.
What is the context window of MoonshotAI: Kimi K2.6?
MoonshotAI: Kimi K2.6 has a context window of 262,144 tokens (262K).
Is MoonshotAI: Kimi K2.6 good for coding?
On our coding benchmark index, MoonshotAI: Kimi K2.6 ranks #43 of 206 models, placing it in the top quartile of the field for code generation and debugging.
What can MoonshotAI: Kimi K2.6 do?
MoonshotAI: Kimi K2.6 supports image/vision input, tool use, and function calling.
Who created MoonshotAI: Kimi K2.6?
MoonshotAI: Kimi K2.6 is developed by MoonshotAI and was released on April 20, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 3, 2026 8:38 pm