Analysis Summary
Kimi K2.7 Code is a multimodal coding variant from MoonshotAI, supporting text and image input alongside tool use and function calling. Its 262K-token context is large enough for many repositories, technical tickets, and design references, while the API features support coding assistants and structured automation. The listed price is moderate for this class of capability.
Vision expands its usefulness for interface debugging, screenshots, and diagram-aware engineering tasks. However, no benchmark results are supplied for this exact batch variant, so its reasoning depth and agentic reliability remain unconfirmed. It is worth testing for software delivery, technical content, and code review workflows, with human review and fallback routing until its behaviour is measured on the agency's own tasks.
Assessed August 23, 2026
Editorial notes
Kimi K2.7 Code combines tool and function calling, vision, and a 262K-token context for coding workflows. The batch variant has no benchmark data here, so its fit is promising for bounded engineering tasks but unproven for demanding agents.
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DFO Verdict
Kimi K2.7 Code combines tool and function calling, vision, and a 262K-token context for coding workflows. The batch variant has no benchmark data here, so its fit is promising for bounded engineering tasks but unproven for demanding agents.
How MoonshotAI: Kimi K2.7 Code (batch) compares
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 K2.7 Code (batch) 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 K2.7 Code (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MoonshotAI: Kimi K2.7 Code (batch)
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts..
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Frequently asked questions about MoonshotAI: Kimi K2.7 Code (batch)
How much does MoonshotAI: Kimi K2.7 Code (batch) cost?
MoonshotAI: Kimi K2.7 Code (batch) costs $0.95 per million input tokens and $4.00 per million output tokens.
What is the context window of MoonshotAI: Kimi K2.7 Code (batch)?
MoonshotAI: Kimi K2.7 Code (batch) has a context window of 262,144 tokens (262K).
What can MoonshotAI: Kimi K2.7 Code (batch) do?
MoonshotAI: Kimi K2.7 Code (batch) supports image/vision input, tool use, and function calling.
Who created MoonshotAI: Kimi K2.7 Code (batch)?
MoonshotAI: Kimi K2.7 Code (batch) is developed by MoonshotAI and was released on June 12, 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