GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
5.0 out of 5 stars
SWE-2

SWE-2

Cognition
5.0 out of 5 stars
GPT-6.1 Sol SWE-2

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GPT-6.1 Sol:

About

GPT-6.1 Sol is an OpenAI model designed to deliver near-GPT-6 Astra intelligence at substantially lower cost across coding, professional work, computer use, scientific research, and agentic workflows. It improves on GPT-6 Sol across complex tasks such as software engineering, document analysis, multi-step business automation, and computer interaction. On DeepSWE v1.1, GPT-6.1 Sol matches GPT-6 Astra at roughly one-fifth of the cost while exceeding GPT-6 Sol's best score by 6.4 percentage points at a lower reasoning effort. The model also improves computer use, outperforming GPT-6 Sol by seven percentage points on the OSWorld 2.0 offline set at maximum reasoning effort while costing less than half as much per task. GPT-6.1 Sol provides improved factuality and alignment, including greater transparency about limitations and stronger adherence to user instructions during agentic tasks. It is available through ChatGPT Work, Codex, and the OpenAI API.
SWE-2:

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.
GPT-6.1 Sol:

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
SWE-2:

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
GPT-6.1 Sol:

Audience

Software developers, engineers, researchers, enterprises, AI application builders, professional knowledge workers, and agent developers that need advanced coding, reasoning, computer-use, scientific, document-analysis, and business-automation capabilities
SWE-2:

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
GPT-6.1 Sol:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
SWE-2:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
GPT-6.1 Sol:

API

Offers API Supported
SWE-2:

API

Offers API Not Supported
GPT-6.1 Sol:

Screenshots and Videos

SWE-2:

Screenshots and Videos

GPT-6.1 Sol:

Pricing

$2 per 1M tokens (input)
Input: $2 per 1 million tokens
Output: $10 per 1 million tokens
Cached Input: $0.10 per 1 million cached input tokens
Free Version Not Supported
Free Trial Not Supported
SWE-2:

Pricing

$20/month
Free Version Supported
Free Trial Not Supported
GPT-6.1 Sol:

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
SWE-2:

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
GPT-6.1 Sol:

Pros & Cons from Real Users

Pros

  • The biggest improvement for me is that it gets very close to Astra-level performance without Astra-level pricing. I can use it for serious coding, research, computer-use tasks, and long agent workflows without feeling like every run needs to be reserved for something mission-critical. The 1.05M-token context window is still a huge advantage. I can keep large repos, specs, logs, documentation, and a lot of prior agent work in context without constantly trimming things down. I also really like the new multi-agent support. Being able to let Sol delegate parts of a bigger task to subagents makes it much more useful for complicated projects where research, coding, testing, and analysis can happen in parallel.

Cons

  • The main downside is that Astra is still the model I would reach for when I absolutely want maximum capability and cost is secondary. Sol also no longer supports the none or minimal reasoning settings, so it is less suited to truly lightweight work than Luna.
SWE-2:

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.
GPT-6.1 Sol:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
SWE-2:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
GPT-6.1 Sol:

Company Information

OpenAI
Founded: 2015
United States
openai.com
SWE-2:

Company Information

Cognition
Founded: 2023
United States
cognition.com
GPT-6.1 Sol:

Alternatives

Gemini 4 Hydrogen

Gemini 4 Hydrogen

Google
5.0 out of 5 stars
SWE-2:

Alternatives

Gemini 4 Hydrogen

Gemini 4 Hydrogen

Google
5.0 out of 5 stars
GPT-6.1 Sol:
Claude Fable 5.2

Claude Fable 5.2

Anthropic
5.0 out of 5 stars
SWE-2:
Claude Fable 5.2

Claude Fable 5.2

Anthropic
5.0 out of 5 stars
GPT-6.1 Sol:
SWE-2:
GPT-6.1 Sol:
GPT-6 Luna

GPT-6 Luna

OpenAI
5.0 out of 5 stars
SWE-2:
SWE-1.7

SWE-1.7

Cognition
5.0 out of 5 stars
GPT-6.1 Sol:
GPT-6 Sol

GPT-6 Sol

OpenAI
5.0 out of 5 stars
SWE-2:
SWE-2 Flash

SWE-2 Flash

Cognition
5.0 out of 5 stars
GPT-6.1 Sol:

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported
Foundation Models Supported
Multimodal Models Supported
SWE-2:

Categories

AI Coding Models Supported
AI Models Supported
GPT-6.1 Sol:

Integrations

.NET Supported
C Supported
C# Supported
C++ Supported
Devin Supported
Devin Desktop Supported
Go Supported
HTML Supported
Kotlin Supported
Kubernetes Supported
Objective-C Supported
PHP Supported
PowerShell Supported
R Supported
Ruby Supported
Scala Supported
Swift Supported
TypeScript Supported
XML Supported
YAML Supported
SWE-2:

Integrations

.NET Supported
C Supported
C# Supported
C++ Supported
Devin Supported
Devin Desktop Supported
Go Supported
HTML Supported
Kotlin Supported
Kubernetes Supported
Objective-C Supported
PHP Supported
PowerShell Supported
R Supported
Ruby Supported
Scala Supported
Swift Supported
TypeScript Supported
XML Supported
YAML Supported
GPT-6.1 Sol:
Claim GPT-6.1 Sol and update features and information
Claim GPT-6.1 Sol and update features and information
SWE-2:
Claim SWE-2 and update features and information
Claim SWE-2 and update features and information