MoonshotAI: Kimi K2.7 Code (batch)
Analysis Summary
Kimi K2.7 Code is positioned for software engineering and supports tool use, function calling, vision, and a 262K context window. Those features suit repository work, code review, visual debugging, and agentic development tasks that need more than plain text generation.
The API profile is practical for coding workflows, and the model appears better suited to specialist engineering tasks than general content production. Its main limitation is the absence of benchmark data for this specific variant, which makes reasoning quality, coding reliability, and instruction following difficult to compare with proven alternatives.
Adopt it for controlled experiments or specialist coding pilots where its capabilities can be tested directly. Keep a benchmarked model as the default for high-stakes client delivery until reliability is established.
Assessed September 7, 2026
Editorial notes
Kimi K2.7 Code combines coding-focused positioning with tool use, function calling, vision, and a 262K context window. Its production suitability is promising, but this variant lacks published benchmark results.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Kimi K2.7 Code combines coding-focused positioning with tool use, function calling, vision, and a 262K context window. Its production suitability is promising, but this variant lacks published benchmark results.
How MoonshotAI: Kimi K2.7 Code (batch) compares
Its 262K-token context window is larger than 69% 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 value. 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 798 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..
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.