SWE-2 Flash
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Description
Inkling 2 Small is a general-purpose multimodal AI model developed by Thinking Machines Lab for software engineering, advanced reasoning, visual analysis, and autonomous agent applications. The model features a sparse mixture-of-experts architecture containing 594 billion total parameters, with approximately 17 billion parameters activated during inference. Its one-million-token context window supports processing large documents, software repositories, extended conversations, and complex collections of information. Inkling 2 Small accepts text and image inputs and generates text outputs, enabling visual reasoning, programming assistance, document analysis, and multimodal problem-solving. Its agentic coding capabilities support autonomous software development, code debugging, repository modifications, application creation, and verification of completed engineering tasks. The model can also perform extended research workflows involving machine learning experimentation, GPU kernel optimization, data analysis, and iterative scientific problem-solving. Configurable reasoning effort allows users to balance response speed and computational resources against the complexity of individual tasks. Thinking Machines Lab reports benchmark scores of 25.4% on FrontierCode 2.0, 72.1% on DeepSWE 1.1, and 86.3% on SWE-Bench Pro v2 Hard. Inkling 2 Small is available for inference and fine-tuning through Tinker, with model weights scheduled for release under the Apache 2.0 license after additional safety evaluations.
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
Yes
API Access
Has API
No
Integrations
.NET
No
C
No
C#
No
CSS
No
Cerebras
No
Dart
No
Devin
No
Devin Desktop
No
Go
No
HTML
No
Integrations
.NET
Yes
C
Yes
C#
Yes
CSS
Yes
Cerebras
Yes
Dart
Yes
Devin
Yes
Devin Desktop
Yes
Go
Yes
HTML
Yes
Pricing Details
$0.30 per million input tokens
$0.30 per million input tokens, $0.03 per million cached input tokens, and $1.00 per million 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
Thinking Machines Lab
Founded
2025
Country
United States
Website
thinkingmachines.ai/
Vendor Details
Company Name
Cognition
Founded
2023
Country
United States
Website
cognition.com