Average Ratings 1 Rating

Total
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Average Ratings 1 Rating

Total
ease
features
design
support

Description

Gemini 3.7 Flash represents Google's most advanced model for coding and agents, exhibiting significant enhancements in software engineering, knowledge-intensive tasks, web design, and intricate business processes. It excels in debugging and resolving issues, showcasing greater accuracy in first-pass code creation and a refined ability to generate code that is ready for production. When applied to web development, this model produces more functional designs and fully-featured applications with fewer prompts, maintaining strong adherence to design principles derived from screenshots, images, or comprehensive design systems. In fields with high knowledge requirements, such as finance, law, and biosciences, it enhances reasoning capabilities, precision, and comprehension of complex documents. Additionally, Gemini 3.7 Flash demonstrates superior performance in automating real-world workflows and executing multimodal tasks, catering to a range of applications from interactive web experiences and data storytelling to robotics and the creation of dynamically generated 3D content. Overall, its versatility makes it a powerful tool for a variety of professional domains.

Description

SWE-1.7 is Cognition’s most capable software engineering model, built to push frontier coding performance while reducing the cost of high-quality agentic rollouts. The model is designed for real-world software development tasks that require extended reasoning, codebase understanding, terminal use, debugging, feature work, migrations, and careful validation. It was trained from a Kimi K2.7 base and improved through Cognition’s reinforcement learning pipeline, including more stable training, stronger infrastructure, better data curation, and long-horizon task techniques. SWE-1.7 is especially optimized for asynchronous software engineering, where an agent needs to work through large projects over longer sessions instead of simply answering short prompts. Its self-compaction capabilities allow the model to summarize its working state and resume from that summary, helping it operate beyond the raw context window on multi-hour tasks. The model is also trained to balance task success with efficiency, using concise reasoning when possible while preserving deeper exploration for harder problems. SWE-1.7 tends to investigate codebases more thoroughly than its base model, reading files, running searches, probing edge cases, and experimenting before making changes. It is available in Devin through web, desktop, and CLI interfaces, with Cerebras serving support at 1000 TPS. SWE-1.7 gives developers and engineering teams a high-performance coding model for complex software projects at a more practical cost.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

.NET Yes 
C Yes 
C# Yes 
C++ Yes 
CSS Yes 
Devin Desktop Yes 
Go Yes 
HTML Yes 
Kotlin Yes 
Kubernetes Yes 
Objective-C Yes 
PHP Yes 
PowerShell Yes 
R Yes 
Ruby Yes 
Rust Yes 
SQL Yes 
Scala Yes 
Solidity Yes 
Swift Yes 

Integrations

.NET Yes 
C Yes 
C# Yes 
C++ Yes 
CSS Yes 
Devin Desktop Yes 
Go Yes 
HTML Yes 
Kotlin Yes 
Kubernetes Yes 
Objective-C Yes 
PHP Yes 
PowerShell Yes 
R Yes 
Ruby Yes 
Rust Yes 
SQL Yes 
Scala Yes 
Solidity Yes 
Swift Yes 

Pricing Details

$0.75 per 1M tokens (input)
$0.75/1M input and $3.75/1M output tokens
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

google.com

Vendor Details

Company Name

Cognition

Founded

2023

Country

United States

Website

cognition.com

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