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Model Library
/Moonshot AI/Kimi 2.7 Code
model path:accounts/fireworks/models/kimi-k2p7-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.

Kimi 2.7 Code API Features

Fine-tuning

Docs

Kimi 2.7 Code can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model

Serverless

Docs

Kimi 2.7 Code is available via Fireworks' serverless API, where you pay per token. There are several ways to call the Fireworks API, including Fireworks' Python client, the REST API, or OpenAI's Python client.

On-demand Deployment

Docs

On-demand deployments allow you to use Kimi 2.7 Code on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Available Serverless

Run queries immediately, pay only for usage

$1.20 / $0.60 / $1.20
Per 1M Tokens (input/cached input/output)

Metadata

State
Ready
Created on
6/12/2026
Kind
Base model
Provider
Moonshot AI

Specification

Calibrated
No
Mixture-of-Experts
Yes
Parameters
1.02T

Supported Functionality

Fine-tuning
Supported
Serverless
Supported
Context Length
262k tokens
Function Calling
Supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Supported