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What is SWE-1.7?

SWE-1.7 is a frontier software engineering model from Cognition built for advanced coding agents and long-horizon development workflows. It is designed to deliver strong coding intelligence at a fraction of the cost of some leading frontier alternatives, improving the cost-performance balance for real software engineering work. The model is trained from a Kimi K2.7 base and further improved through Cognition’s reinforcement learning pipeline, showing that additional post-training can still produce major capability gains. SWE-1.7 is optimized for tasks such as bug fixing, feature implementation, code migrations, terminal-based workflows, multilingual software engineering, large codebase navigation, and end-to-end validation. It performs especially well on longer asynchronous tasks where an AI agent needs to gather context, inspect files, test hypotheses, make changes, and verify results over an extended period. Cognition trained the model with infrastructure improvements that preserve entropy, stabilize training, support multi-cluster reinforcement learning, and improve fault tolerance across large distributed runs. The training process also focused heavily on data quality, using automated execution tests, verifier quality checks, reward-hacking prevention, and task filtering to create stronger learning signals. SWE-1.7 includes self-compaction, allowing it to summarize its working state and continue long projects even when tasks exceed the raw context window. It also uses an alternating length penalty to encourage concise reasoning on easier tasks while maintaining deeper exploration when a problem requires it. In practice, the model tends to explore codebases carefully, read relevant files, search for hidden requirements, test edge cases, and experiment before deciding how to implement a fix. Available in Devin across web, desktop, and CLI via Cerebras, SWE-1.7 gives engineering teams a powerful model for running scalable, cost-efficient coding agents.

What is Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite is distinguished as the fastest model in Google's Gemini 3.5 series, designed specifically for low-latency tasks and enhancing developer workflows that require high throughput, such as agentic search, document processing, coding, and comprehensive data analysis. It features an impressive output rate of 350 tokens per second and represents a substantial upgrade from previous Flash-Lite versions in both quality and agentic functionalities. Developers can tailor the model's cognitive level based on the task requirements: minimal or low thinking is ideal for quick processing of large datasets, while higher thinking levels are suited for more complex, multi-step workflows that involve subagents. Additionally, the model comes with integrated computational abilities, allowing it to function seamlessly in various digital environments across supported platforms. Gemini 3.5 Flash-Lite also shines in coding tasks, managing lengthy contexts, and carrying out real-world applications, consistently surpassing the performance of its predecessor, Gemini 3.1 Flash-Lite, in crucial evaluations and even outdoing Gemini 3 Flash in numerous benchmarks related to agentic capabilities and software development. This remarkable performance demonstrates its potential to revolutionize the way developers tackle intricate workflows and handle data-heavy tasks, making it a game-changer in the field. As developers continue to explore its capabilities, they are likely to uncover new applications that further enhance their productivity.

Media

Media

Integrations Supported

.NET
C
C#
C++
CSS
Dart
Devin Desktop
HTML
JavaScript
Kubernetes
Objective-C
PowerShell
Python
Ruby
Rust
SQL
Solidity
Swift
TypeScript
YAML

Integrations Supported

.NET
C
C#
C++
CSS
Dart
Devin Desktop
HTML
JavaScript
Kubernetes
Objective-C
PowerShell
Python
Ruby
Rust
SQL
Solidity
Swift
TypeScript
YAML

API Availability

Has API

API Availability

Has API

Pricing Information

$20/month
Free Trial Offered?
Free Version

Pricing Information

$0.30 per 1M input tokens
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cognition

Date Founded

2023

Company Location

United States

Company Website

cognition.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

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