MoonshotAI: Kimi K2.7 Code
Analysis Summary
MoonshotAI Kimi K2.7 Code is a coding-focused model with high measured software performance, vision support, a 262K context window, and both tool use and function calling. It is designed for repository-scale assistance, code generation, debugging, and workflows that need to inspect visual material alongside text. Terminal performance and agentic results are useful, though less dominant than its coding capability.
The model fits software engineering teams, code-review automation, technical documentation, and agent-assisted implementation. Its instruction-following results are weaker than its coding results, so client-facing prose and tightly constrained structured outputs should receive review. Pricing is higher than budget models but remains appropriate for valuable engineering tasks. Adopt Kimi K2.7 Code as a specialist coding and tool-use model, particularly where vision and a large working context reduce workflow fragmentation.
Assessed August 9, 2026
Editorial notes
Kimi K2.7 Code delivers excellent coding capability, vision, a 262K context window, and tool interfaces for software agents, with content precision and agentic reliability as its main limitations.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Kimi K2.7 Code delivers excellent coding capability, vision, a 262K context window, and tool interfaces for software agents, with content precision and agentic reliability as its main limitations.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
43 Intelligence Index·60.8 Coding Index·30.3 Agentic Index
How MoonshotAI: Kimi K2.7 Code compares
MoonshotAI: Kimi K2.7 Code ranks #42 of 420 AI models we track for overall intelligence, #35 of 193 for coding, #54 of 175 for agentic tasks. Its 262K-token context window is larger than 74% of the models we list. At $0.70 per million input tokens it is cheaper than 32% 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 | $0.70 | $0.000700 |
| Output | $3.50 | $0.003500 |
What would MoonshotAI: Kimi K2.7 Code 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 688 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 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MoonshotAI: Kimi K2.7 Code
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
How much does MoonshotAI: Kimi K2.7 Code cost?
MoonshotAI: Kimi K2.7 Code costs $0.70 per million input tokens and $3.50 per million output tokens.
What is the context window of MoonshotAI: Kimi K2.7 Code?
MoonshotAI: Kimi K2.7 Code has a context window of 262,144 tokens (262K).
Is MoonshotAI: Kimi K2.7 Code good for coding?
On our coding benchmark index, MoonshotAI: Kimi K2.7 Code ranks #35 of 193 models, placing it in the top quartile of the field for code generation and debugging.
What can MoonshotAI: Kimi K2.7 Code do?
MoonshotAI: Kimi K2.7 Code supports image/vision input, tool use, and function calling.
Who created MoonshotAI: Kimi K2.7 Code?
MoonshotAI: Kimi K2.7 Code is developed by MoonshotAI and was released on June 12, 2026.
