SWE-2

SWE-2

Cognition
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About

Patronus AI provides frontier AI labs with training data, tasks, and simulated environments for reinforcement learning. The company builds RL environments that replicate real-world digital workflows across software engineering, computer use, customer support, and financial services. Each environment pairs simulated applications with tasks and reward signals, so models can practice long-horizon, multi-step work under realistic conditions such as latency, interface changes, and unexpected pop-ups. Patronus AI also develops Digital World Models, AI models trained to predict how digital environments behave, which are used to generate and evolve training environments at scale as models improve. Its work spans reinforcement learning environments and digital world models for agents operating in software, supporting post-training, benchmarking, and evaluation of frontier AI models and agents.

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 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

Frontier AI labs training and evaluating AI models and agents

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

Custom pricing based on project scope. Contact Patronus AI to discuss.
Free Version Not 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

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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

Patronus AI
Founded: 2023
United States
www.patronus.ai/

Company Information

Cognition
Founded: 2023
United States
cognition.com

Alternatives

GLM-5.3

GLM-5.3

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Alternatives

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GLM-5

Z.ai
GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
LongCat-2.0

LongCat-2.0

LongCat
SWE-1.7

SWE-1.7

Cognition
MiniMax M2.5

MiniMax M2.5

MiniMax
SWE-1.6

SWE-1.6

Cognition

Categories

Categories

AI Coding Models Supported
AI Models Supported

Artificial Intelligence Features

Chatbot Not Supported
For eCommerce Not Supported
For Healthcare Not Supported
For Sales Not Supported
Image Recognition Not Supported
Machine Learning Supported
Multi-Language Not Supported
Natural Language Processing Supported
Predictive Analytics Not Supported
Process/Workflow Automation Not Supported
Rules-Based Automation Not Supported
Virtual Personal Assistant (VPA) Not Supported

Integrations

C Not Supported
C# Not Supported
C++ Not Supported
Cerebras Not Supported
Devin Not Supported
Devin Desktop Not Supported
HTML Not Supported
JSON Not Supported
JavaScript Not Supported
Lua Not Supported
MATLAB Not Supported
Objective-C Not Supported
PowerShell Not Supported
Python Not Supported
R Not Supported
Ruby Not Supported
Rust Not Supported
SQL Not Supported
XML Not Supported
YAML Not Supported

Integrations

C Supported
C# Supported
C++ Supported
Cerebras Supported
Devin Supported
Devin Desktop Supported
HTML Supported
JSON Supported
JavaScript Supported
Lua Supported
MATLAB Supported
Objective-C Supported
PowerShell Supported
Python Supported
R Supported
Ruby Supported
Rust Supported
SQL Supported
XML Supported
YAML Supported
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