Ratings and Reviews 1 Rating

Total
ease
features
design
support

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    967 Ratings
    Company Website
  • Devin Desktop Reviews & Ratings
    171 Ratings
    Company Website
  • JetBrains Junie Reviews & Ratings
    12 Ratings
    Company Website
  • Parasoft Reviews & Ratings
    148 Ratings
    Company Website
  • StackAI Reviews & Ratings
    53 Ratings
    Company Website
  • Retool Reviews & Ratings
    577 Ratings
    Company Website
  • Source Defense Reviews & Ratings
    7 Ratings
    Company Website
  • Checksum.ai Reviews & Ratings
    1 Rating
    Company Website
  • QuickApps Reviews & Ratings
    Company Website
  • Creatio Reviews & Ratings
    524 Ratings
    Company Website

What is Kimi K2.7 Code?

Kimi K2.7 Code is an open-source agentic coding model from Moonshot AI designed for developers, engineering teams, and AI coding workflows that require long-context understanding and multi-step execution. It is built for real-world software engineering tasks, including code generation, code review, debugging, repository navigation, tool use, and long-horizon development work. The model is described by Moonshot AI as a coding-focused agentic model with stronger performance on complex coding tasks than earlier Kimi K2 releases. Kimi K2.7 Code supports a 256K context window, allowing it to process large codebases, technical requirements, logs, documentation, and multi-file development context in a single workflow. It is available through Kimi Code, which provides developer-oriented tools for using the model in coding tasks. The model can also be accessed through Moonshot’s API platform, where Kimi K2.7 Code and Kimi K2.7 Code Highspeed are offered alongside earlier Kimi models. For developers who want more control, Kimi K2.7 Code is listed on Hugging Face with deployment support for inference engines such as vLLM, SGLang, and KTransformers. It uses OpenAI- and Anthropic-compatible API options, helping teams connect it to existing applications, coding tools, and agent systems more easily. Third-party model listings describe it as using a 1T-parameter mixture-of-experts architecture with 32B active parameters, native INT4 quantization, and reduced thinking-token usage compared with Kimi K2.6. The model is designed to improve efficiency by using fewer reasoning tokens while still supporting demanding programming workflows. Kimi K2.7 Code is a strong fit for developers who want an open, long-context, tool-friendly AI model for software engineering automation and AI-assisted development.

What is DeepSWE?

DeepSWE represents a groundbreaking advancement in open-source coding agents, harnessing the Qwen3-32B foundation model trained exclusively through reinforcement learning (RL) without the aid of supervised fine-tuning or proprietary model distillation. Developed using rLLM, which is Agentica's open-source RL framework tailored for language-driven agents, DeepSWE functions effectively within a simulated development environment provided by the R2E-Gym framework. This setup equips it with a range of tools, such as a file editor, search functions, shell execution, and submission capabilities, allowing the agent to adeptly navigate extensive codebases, modify multiple files, compile code, execute tests, and iteratively generate patches or fulfill intricate engineering tasks. In addition to mere code generation, DeepSWE exhibits sophisticated emergent behaviors; when confronted with bugs or feature requests, it engages in critical reasoning regarding edge cases, searches for existing tests in the codebase, proposes patches, creates additional tests to avert regressions, and adapts its cognitive strategies based on the specific challenges presented. This remarkable adaptability and efficiency position DeepSWE as a formidable asset in the software development landscape, empowering developers to tackle complex projects with greater ease and confidence. Its ability to learn from each interaction further enhances its performance, ensuring continuous improvement over time.

Media

Media

Integrations Supported

Together AI
Bash
C++
Cherry Studio
Cline
HTML
Java
JavaScript
Kimi
Kimi Work
Nebius Token Factory
Okara
OpenClaw
OpenCode
Pi Agent
PrivatClaw
React
Rust
SiliconFlow
TypeScript

Integrations Supported

Together AI
Bash
C++
Cherry Studio
Cline
HTML
Java
JavaScript
Kimi
Kimi Work
Nebius Token Factory
Okara
OpenClaw
OpenCode
Pi Agent
PrivatClaw
React
Rust
SiliconFlow
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Moonshot AI

Date Founded

2023

Company Location

China

Company Website

www.kimi.com

Company Facts

Organization Name

Agentica Project

Date Founded

2025

Company Location

United States

Company Website

agentica-project.com

Categories and Features

Categories and Features

Popular Alternatives

Claude Fable 5 Reviews & Ratings

Claude Fable 5

Anthropic

Popular Alternatives

Devstral 2 Reviews & Ratings

Devstral 2

Mistral AI
Claude Mythos 5 Reviews & Ratings

Claude Mythos 5

Anthropic
Devstral Small 2 Reviews & Ratings

Devstral Small 2

Mistral AI
Claude Opus 4.6 Reviews & Ratings

Claude Opus 4.6

Anthropic
DeepCoder Reviews & Ratings

DeepCoder

Agentica Project
Kimi K2.5 Reviews & Ratings

Kimi K2.5

Moonshot AI
KAT-Coder-Pro V2 Reviews & Ratings

KAT-Coder-Pro V2

StreamLake