SWE-2

SWE-2

Cognition
+
+

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About

GPT-6 Cyber is an advanced AI cybersecurity model developed by OpenAI to help security researchers discover, validate, and remediate software vulnerabilities. The model specializes in autonomous vulnerability research, exploit development, secure code analysis, and authorized penetration testing across complex software environments. Its reasoning capabilities allow security teams to investigate large codebases, identify previously unknown vulnerabilities, reproduce security flaws, and develop candidate patches. GPT-6 Cyber achieved a 48.5% success rate on ExploitGym, representing a 51% relative improvement over GPT-5.6 Cyber. The model includes specialized alignment training and safeguards designed to respect authorized testing boundaries, prevent unauthorized actions, and accurately report research findings. GPT-6 Cyber is initially available through OpenAI's Daybreak Red program using the API and Codex for approved cybersecurity organizations and researchers.

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

Cybersecurity researchers, penetration testers, ethical hackers, red teams, vulnerability researchers, application security engineers, security operations teams, software security auditors, incident response professionals, open-source maintainers, critical infrastructure security specialists, and organizations seeking AI-powered vulnerability discovery, authorized exploit development, security testing, secure code review, and automated vulnerability remediation

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

No information available.
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

OpenAI
Founded: 2015
United States
openai.com

Company Information

Cognition
Founded: 2023
United States
cognition.com

Alternatives

Alternatives

GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
SWE-1.7

SWE-1.7

Cognition
SWE-2 Flash

SWE-2 Flash

Cognition

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported
Foundation Models Supported
Multimodal Models Supported

Categories

AI Coding Models Supported
AI Models Supported

Integrations

.NET Supported
C# Supported
C++ Supported
CSS Supported
HTML Supported
JavaScript Supported
Kotlin Supported
Kubernetes Supported
PHP Supported
PowerShell Supported
Python Supported
R Supported
Rust Supported
SQL Supported
Scala Supported
Solidity Supported
Swift Supported
TypeScript Supported
XML Supported
YAML Supported

Integrations

.NET Supported
C# Supported
C++ Supported
CSS Supported
HTML Supported
JavaScript Supported
Kotlin Supported
Kubernetes Supported
PHP Supported
PowerShell Supported
Python Supported
R Supported
Rust Supported
SQL Supported
Scala Supported
Solidity Supported
Swift Supported
TypeScript Supported
XML Supported
YAML Supported
Claim GPT‑6 Cyber and update features and information
Claim GPT‑6 Cyber and update features and information
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