Kimi

Kimi

Moonshot AI
SWE-2

SWE-2

Cognition
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About

Kimi is an intelligent assistant with a large "memory" that can read a 200,000-word novel in one go and surf the Internet. Kimi can understand and process long documents, helping you quickly summarize analysis reports, financial reports, etc., saving time in reading and organizing. When preparing for exams or researching new fields, Kimi can help you understand and summarize large amounts of textbooks or professional papers. If you work in programming or technology, Kimi can help you reproduce code or provide technical solutions based on your code or pseudocode from your paper. Kimi has significant advantages in Chinese and can handle multi-language documents, helping you communicate and understand more efficiently in international work. Kimi Chat can also play your favorite game characters, have interesting conversations with you, and provide entertainment and relaxation.

About

SWE-2 is Cognition’s advanced coding model designed to improve software engineering performance while reducing the cost of agentic coding workflows. The model is post-trained from Kimi K3 and uses reinforcement learning to optimize multiple reasoning-effort levels within a single training run. SWE-2 is designed to explore codebases more selectively, begin implementation sooner, and complete tasks with fewer redundant reads and reasoning steps than earlier Cognition models. Its capabilities include code generation, debugging, test creation, verification, repository analysis, and complex terminal-based software engineering tasks. The model also emphasizes stronger engineering judgment, end-to-end test coverage, instruction following, and evidence-based verification of user assumptions. SWE-2 is available through Devin Desktop and Devin CLI, with broader rollout planned across Devin Web and Fusion.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Users interested in a powerful multimodal AI assistant

Audience

Software developers, engineering teams, AI coding agent users, DevOps professionals, and organizations that need capable agentic software engineering with lower execution cost and more efficient reasoning

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

$20/month
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Pros & Cons from Real Users

Pros

  • The biggest thing that stands out is the cost-performance balance. SWE-2 is not just trying to top one benchmark; it is trying to get very close to frontier coding performance at a much lower cost. For developers, that matters a lot. Coding agents can burn through tokens quickly when they are reading files, making edits, running tests, and iterating. A model that performs near the top while being meaningfully cheaper is much easier to use every day. I also like that SWE-2 seems built for real software engineering workflows, not just isolated code snippets. The strong DeepSWE and Terminal-Bench results make it especially interesting for repo-level tasks, debugging, tool use, and longer agent runs.

Cons

  • Benchmarks are useful, but real projects bring messy architecture, flaky tests, undocumented behavior, and weird edge cases.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Moonshot AI
Founded: 2023
China
www.kimi.com

Company Information

Cognition
Founded: 2023
United States
cognition.com

Alternatives

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Perplexity

Perplexity AI

Alternatives

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Grok

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GPT-5.6 Sol

OpenAI
Kimi Claw

Kimi Claw

Moonshot AI
SWE-1.7

SWE-1.7

Cognition
Kimi K2.7 Code

Kimi K2.7 Code

Moonshot AI
SWE-1.6

SWE-1.6

Cognition

Categories

AI Assistants Supported
AI Chatbots Supported

Categories

AI Coding Models Supported
AI Models Supported

Integrations

.NET Not Supported
Anuma Supported
AnyAPI Supported
BLACKBOX AI Supported
C Not Supported
Dart Not Supported
Filamental Supported
HOL Guard Supported
Kimi K2.7 Code Supported
LaReview Supported
Melaya Supported
Noden Supported
OpenClaw Supported
Peezy Gateway Supported
Pi Agent Supported
PowerShell Not Supported
R Not Supported
Ruby Not Supported
XML Not Supported
YAML Not Supported

Integrations

.NET Supported
Anuma Not Supported
AnyAPI Not Supported
BLACKBOX AI Not Supported
C Supported
Dart Supported
Filamental Not Supported
HOL Guard Not Supported
Kimi K2.7 Code Not Supported
LaReview Not Supported
Melaya Not Supported
Noden Not Supported
OpenClaw Not Supported
Peezy Gateway Not Supported
Pi Agent Not Supported
PowerShell Supported
R Supported
Ruby Supported
XML Supported
YAML Supported
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