Mo
Kimi K2.7 Code
Kimi-K2.7-Code is a coding model from Moonshot AI. It has improved coding & agent performance over K2.6, more reasoning efficiency with less overthinking, and improved instruction following for long-horizon coding.
- Input
- text
- image
- video
- Output
- text
- Video understanding
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
Vercel AI Gateway
VAVercel AI Gateway
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
No benchmark results are available for this model yet.
Frequently asked questions
Free access, setup, and what to expect.
Free API access for Kimi K2.7 Code is listed through Vercel AI Gateway, but a specific request or token allowance isn’t available in the listed data. Check the Kimi K2.7 Code provider pricing and rate limits for what’s included and any account requirements.
To use Kimi K2.7 Code, choose one of the listed Kimi K2.7 Code API providers and follow the provider’s account and API-key setup guide. Copy the Kimi K2.7 Code model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Kimi K2.7 Code accepts text, image, pdf, and video as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Kimi K2.7 Code documentation for supported file types and request formats.
Kimi K2.7 Code has a listed context window of 256K tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for Kimi K2.7 Code may be smaller than the context window and can vary by provider.
Kimi K2.7 Code has both reasoning and tool calling listed as supported capabilities. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
No benchmark results are listed for Kimi K2.7 Code yet. Missing scores don’t establish poor performance. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Kimi K2.7 Code on examples from your own task alongside context size and provider limits.