Kimi K2.7 Code
kimi-k2.7-codeMoonshotAI: 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... Built by MoonshotAI.
Prices updated
Input price
$0.67
per 1M tokens · Standard
Output price
$3.35
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
236K
tokens
Input formats
Output formats
Kimi K2.7 Code price history
4 price records since 9/25/2026 · 2 changes
Kimi K2.7 Code cost calculator
$30/month
Standard pricing
Overview
What is Kimi K2.7 Code?
Kimi K2.7 Code is a text & reasoning and vision and code & slms model from MoonshotAI. 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... Its 262K context window and $0.67 input price make it a candidate for quality-focused production applications.
Benchmarks
Kimi K2.7 Code benchmarks & speed
How Kimi K2.7 Code scores on standardized evaluations, and where it lands among every model we track.
25.8
Intelligence Index
97tok/s
Output speed
1257
DesignArena Elo
Reasoning
GPQA Diamond
89.6%
Graduate-level scientific reasoning · top 29%
HLE
35.0%
Humanity's Last Exam · top 31%
Coding
SciCode
47.8%
Python for scientific computing · top 58%
Latency & design
- Time to first token
- 3.03s
- DesignArena win rate
- 50.2%
- Design battles judged
- 21,384
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Kimi K2.7 Code pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.67
Per 1M tokens
Cached input · Standard
$0.18
Per 1M tokens
Capabilities
Kimi K2.7 Code Tools
Tools available when using Kimi K2.7 Code through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 25.8 · DesignArena Elo 1257) position it for demanding production work.
- 262K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision and code & slms workloads in one model.
Limitations
- Generated tokens cost 5× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider
