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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 Mercor?

Mercor is a platform tailored to help professionals find remote job positions by simplifying both the application process and job matching. Users can easily upload their resumes and describe their desired projects, after which Mercor utilizes artificial intelligence to pinpoint appropriate job openings, allowing a single application to reach multiple employers. Among its key features are listings specifically for remote work, an AI-driven system for scheduling interviews, access to international job opportunities (enabling candidates to apply and interview from anywhere in the world), and a thoughtfully selected range of job titles such as “expert model trainer” and “legal intelligence analyst.” The platform presents many benefits for job seekers, including improved salary potential, reduced job search duration, and greater visibility to a variety of employers; concurrently, it supports employers by offering access to well-matched candidates through its smart AI algorithms. In addition, Mercor's pioneering approach not only streamlines the hiring process but also effectively connects skilled professionals with innovative companies in search of exceptional talent. This connection ultimately leads to a more robust job market where both candidates and employers can thrive.

Media

Media

Integrations Supported

C
C#
CSS
Devin
Devin Desktop
HTML
JSON
JavaScript
Kotlin
Kubernetes
Lua
MATLAB
PHP
PowerShell
R
Rust
Swift
Terraform
TypeScript
XML

Integrations Supported

C
C#
CSS
Devin
Devin Desktop
HTML
JSON
JavaScript
Kotlin
Kubernetes
Lua
MATLAB
PHP
PowerShell
R
Rust
Swift
Terraform
TypeScript
XML

API Availability

Has API

API Availability

Has API

Pricing Information

$20/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Mercor

Date Founded

2023

Company Location

United States

Company Website

mercor.com

Categories and Features

Categories and Features

Recruiting

Assessments
Background Screening
CRM
Interaction Tracking
Internal HR
Interview Management
Job Board Posting
Job Requisition
Onboarding
Recruiting Firms
Reference Checking
Resume Parsing
Self Service Portal

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