SWE-2 Reviews

SWE-2

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features 0 out of 5 stars
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Average Ratings 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars

Description

Gemini 4 Krypton is an unreleased AI model reportedly under development at Google DeepMind, with early discussions positioning it as a potential addition to the Gemini 4 lineup. The model has attracted attention through unofficial demonstrations comparing its performance with Gemini 4 Argon and Gemini 4 Carbon. These demonstrations suggest that Krypton may be optimized for demanding programming assignments, advanced reasoning, and the creation of complex digital experiences. Reported examples include generating interactive web applications, detailed user interfaces, animated content, and substantial amounts of executable code. Some early testers claim that Krypton spends significantly more time processing requests and produces larger implementations than other Gemini models. This approach could make it particularly useful for software development projects that require extensive planning, iterative refinement, and multiple interconnected components. As a member of the Gemini family, Krypton may incorporate capabilities associated with Google's multimodal AI research and intelligent agent development. However, Google has not officially confirmed the model's architecture, supported input formats, benchmark performance, pricing, or public availability. If these reported capabilities are validated, Gemini 4 Krypton could become a powerful option for developers and organizations working on sophisticated AI-assisted programming and automation projects.

Description

SWE-2 is a software engineering model from Cognition built for agentic coding tasks that require strong performance at lower computational and monetary cost. It is post-trained from the Kimi K3 base model and extends Cognition’s earlier SWE-1.7 training approach with a new reinforcement learning method for jointly optimizing multiple reasoning-effort settings. Medium, high, and maximum effort modes provide different tradeoffs between speed, cost, exploration, and verification depending on task complexity. The model is trained to inspect only the parts of a codebase that are likely to matter, helping it reach implementation faster and reduce unnecessary exploration. SWE-2 can generate and modify code, run tests, analyze repositories, work through terminal tasks, and verify whether implementations satisfy user requirements. Cognition also reports improvements in end-to-end test creation, regression detection, instruction following, and re-deriving conclusions when challenged. Its training process incorporates cost-aware rewards, length-weighted reward baselines, expanded reinforcement learning environments, and hardened verifiers intended to improve both efficiency and reliability. SWE-2 is positioned as a cost-efficient alternative to larger frontier coding models while remaining competitive on software engineering benchmarks such as FrontierCode, DeepSWE, and Terminal-Bench. The model is available in Devin Desktop and Devin CLI and is being introduced to additional Cognition products including Devin Web and Fusion.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

.NET Yes 
C# Yes 
CSS Yes 
Dart Yes 
Devin Desktop Yes 
HTML Yes 
JavaScript Yes 
Kotlin Yes 
Kubernetes Yes 
Lua Yes 
Objective-C Yes 
PHP Yes 
PowerShell Yes 
Python Yes 
R Yes 
SQL Yes 
Scala Yes 
Solidity Yes 
TypeScript Yes 
XML Yes 

Integrations

.NET Yes 
C# Yes 
CSS Yes 
Dart Yes 
Devin Desktop Yes 
HTML Yes 
JavaScript Yes 
Kotlin Yes 
Kubernetes Yes 
Lua Yes 
Objective-C Yes 
PHP Yes 
PowerShell Yes 
Python Yes 
R Yes 
SQL Yes 
Scala Yes 
Solidity Yes 
TypeScript Yes 
XML Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$20/month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.com

Vendor Details

Company Name

Cognition

Founded

2023

Country

United States

Website

cognition.com

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