Kimi K2.7 Code

Kimi K2.7 Code is a coding-focused agentic model built upon Kimi K2.6. With substantial improvements on real-world long-horizon coding tasks, it strengthens end-to-end task completion across complex software engineering workflows while improving token efficiency, reducing thinking-token usage by approximately 30% compared with Kimi K2.6.

Context
262K
Max output
262K
Input
$0.71
Output
$3.5
DECISION SUMMARY

Recommended use cases

Strengths in this dataset

  • 262,144-token context window
  • text, image input
  • 20 supported API parameters listed

Limits and caveats

  • Provider behavior and pricing can change; verify the linked sources before production use.
CAPABILITIES

Capability

Model-native facts

Model
Reasoning
Supported
Open weights
Unknown

Provider endpoint facts

Provider endpoint
Tool calling
Supported
Structured output
Supported
Streaming
Unknown
Prompt cache
Supported
Batch
Unknown
Fine-tuning
Unknown
PROVIDER PRICING

Kimi K2.7 Code Provider pricing

Provider endpoint: moonshotai/kimi-k2.7-code

Input
$0.71
per 1M tokens
Output
$3.5
per 1M tokens
Cached input
$0.15
per 1M tokens
Image output
Unknown
per 1M tokens
SOURCE RECORDS

Sources and verification

Hugging Face model card

Fields: tags, gated, license, summary, library name, pipeline tag

OpenRouter Models API

Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters

MODEL FAQ

Frequently asked questions

Answers are generated from the same sourced model and provider facts shown above.

Kimi K2.7 Code is a coding-focused agentic model built upon Kimi K2.6. With substantial improvements on real-world long-horizon coding tasks, it strengthens end-to-end task completion across complex software engineering workflows while improving token efficiency, reducing thinking-token usage by approximately 30% compared with Kimi K2.6.

Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.