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Average Ratings 1 Rating

Total
ease
features
design
support

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.

Description

SWE-2 Flash is a high-speed AI software engineering model developed by Cognition for automated coding, development workflows, and technical problem-solving. The model is based on Inkling-Small from Thinking Machines and uses a mixture-of-experts architecture containing 276 billion total parameters and 12 billion active parameters. Cognition applies large-scale mid-training and reinforcement learning to improve the model's programming accuracy, reasoning capabilities, and ability to complete complex software engineering tasks. SWE-2 Flash supports code generation, repository maintenance, automated code reviews, feature implementation, documentation updates, and agent-driven software development. Its optimized architecture delivers approximately 200 tokens per second, making it three times faster than SWE-2 while operating at one-fifth the inference cost. The model achieved a score of 24.0% on FrontierCode 2.0, 45.5% on FrontierCode 1.1 Main, and 89.2% on Terminal-Bench 2.1 in Cognition's published evaluations. Training improvements also target general reasoning, problem-solving, and cybersecurity tasks to expand the range of activities supported by autonomous coding agents. SWE-2 Flash is available in Devin Desktop and CLI, allowing developers to incorporate the model into interactive and automated software engineering workflows. Cognition is also developing a controlled model-weight access program for trusted industry partners and researchers interested in fine-tuning, infrastructure control, and deployment in sensitive environments.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

C Yes 
C# Yes 
C++ Yes 
Cerebras Yes 
Dart Yes 
Devin Yes 
Devin Desktop Yes 
Go Yes 
HTML Yes 
JavaScript Yes 
Kotlin Yes 
Objective-C Yes 
PowerShell Yes 
R Yes 
Ruby Yes 
Rust Yes 
SQL Yes 
Scala Yes 
Swift Yes 
Terraform Yes 

Integrations

C Yes 
C# Yes 
C++ Yes 
Cerebras Yes 
Dart Yes 
Devin Yes 
Devin Desktop Yes 
Go Yes 
HTML Yes 
JavaScript Yes 
Kotlin Yes 
Objective-C Yes 
PowerShell Yes 
R Yes 
Ruby Yes 
Rust Yes 
SQL Yes 
Scala Yes 
Swift Yes 
Terraform Yes 

Pricing Details

$20/month
Free Trial No 
Free Version Yes 

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

Cognition

Founded

2023

Country

United States

Website

cognition.com

Vendor Details

Company Name

Cognition

Founded

2023

Country

United States

Website

cognition.com

Product Features

Product Features

Alternatives

Alternatives

SWE-1.7 Reviews

SWE-1.7

Cognition
Inkling Reviews

Inkling

Thinking Machines Lab
GPT-6.1 Sol Reviews

GPT-6.1 Sol

OpenAI
GPT-6.1 Sol Reviews

GPT-6.1 Sol

OpenAI