Analysis Summary
Kimi K2.6 is a MoonshotAI multimodal model with a 262K context window, vision, tool use, and function calling. Its coding capability is the standout strength, making it suitable for repository assistance, code generation, debugging, and technical content workflows. General reasoning is capable but less advanced than its coding profile, while agentic performance is comparatively limited.
For client work, it is a strong specialist for software projects, technical SEO implementation, structured transformations, and visual inputs that need code or text outputs. The pricing is materially lower than premium flagship models, supporting regular use without making every request expensive. Keep autonomous workflows bounded by tests and tool permissions, especially where several dependent actions are required. Adopt it as a coding-focused secondary model and a cost-conscious multimodal option.
Assessed September 7, 2026
Editorial notes
Kimi K2.6 pairs strong coding with vision, tool use, function calling, and a 262K context window at moderate pricing; general reasoning and agentic results are less advanced than its software-engineering capability.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Kimi K2.6 pairs strong coding with vision, tool use, function calling, and a 262K context window at moderate pricing; general reasoning and agentic results are less advanced than its software-engineering capability.
How MoonshotAI: Kimi K2.6 compares
MoonshotAI: Kimi K2.6 ranks #59 of 435 AI models we track for overall intelligence, #45 of 208 for coding, #77 of 190 for agentic tasks. Its 262K-token context window is larger than 71% 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 intelligence 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 756 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 #45 of 208 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 7, 2026 8:38 pm