SWE-2 Flash

SWE-2 Flash

Cognition
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About

Gemini 4 Flash, reportedly codenamed Hydrogen, is an anticipated multimodal artificial intelligence model in Google DeepMind's Gemini family. The model is expected to emphasize fast response times, efficient inference, and advanced reasoning for everyday AI applications. Potential capabilities include natural language understanding, code generation, document analysis, visual reasoning, and automated task execution. Based on Google's existing Flash models, Hydrogen may support tool calling, structured outputs, long-context processing, and integration with external applications. Potential applications include AI assistants, customer service automation, software development, content generation, and enterprise productivity workflows. Google has not officially confirmed the Hydrogen codename, model specifications, pricing, or release date.

About

SWE-2 Flash is an AI coding model developed by Cognition to provide fast, cost-efficient software engineering capabilities for autonomous development agents. Built on Thinking Machines' Inkling-Small foundation model, it uses mid-training and reinforcement learning to improve coding performance, reasoning, and task execution. The model supports software development activities such as code generation, code reviews, feature development, documentation updates, and automated engineering workflows. SWE-2 Flash generates approximately 200 tokens per second, making it three times faster and five times less expensive than the larger SWE-2 model. Its 276-billion-parameter mixture-of-experts architecture activates approximately 12 billion parameters during inference to balance performance and computational efficiency. SWE-2 Flash is available through Devin Desktop and CLI, with Cognition also developing a secure model-weight sharing program for trusted research and enterprise partners.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Software developers, AI engineers, application developers, SaaS companies, enterprise IT teams, automation specialists, researchers, content creators, and businesses interested in fast multimodal AI processing, cost-efficient inference, conversational AI, coding assistance, and automated workflows

Audience

Software developers, AI coding assistant users, software engineering teams, DevOps professionals, autonomous agent developers, AI researchers, enterprise development organizations, and cybersecurity researchers seeking fast, cost-efficient AI coding, automated code reviews, feature implementation, software maintenance, technical reasoning, and agentic development workflows

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$20/month
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • This is the kind of model I would use all day for normal engineering work. It is fast enough that it does not feel like I am waiting on the model, but it is still strong enough for feature work, code review, docs, automations, and debugging. The speed is probably the biggest win. Cognition says it runs at around 200 tokens per second versus about 60 for SWE-2, and that difference matters a lot once an agent starts iterating through files and tools. The cost-performance balance is also really good. It is one-fifth the price of SWE-2, while scoring 45.5 on FrontierCode 1.1 Main, 60.1 on DeepSWE 1.1, and 89.9 on SWE-Bench Pro v2 Hard.

Cons

  • My main complaint is that it is not the model I would choose for the hardest repo-wide work. SWE-2 still has a noticeable edge on some tougher benchmarks, so I would move up when the task really needs it.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Google
Founded: 1998
United States
gemini.com

Company Information

Cognition
Founded: 2023
United States
cognition.com

Alternatives

Alternatives

GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
Inkling

Inkling

Thinking Machines Lab

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported
Foundation Models Supported
Multimodal Models Supported

Categories

AI Coding Models Supported
AI Models Supported

Integrations

C Supported
CSS Supported
Dart Supported
HTML Supported
JavaScript Supported
Kotlin Supported
Kubernetes Supported
Objective-C Supported
PHP Supported
PowerShell Supported
Python Supported
R Supported
Ruby Supported
Rust Supported
SQL Supported
Scala Supported
Solidity Supported
Swift Supported
TypeScript Supported
YAML Supported

Integrations

C Supported
CSS Supported
Dart Supported
HTML Supported
JavaScript Supported
Kotlin Supported
Kubernetes Supported
Objective-C Supported
PHP Supported
PowerShell Supported
Python Supported
R Supported
Ruby Supported
Rust Supported
SQL Supported
Scala Supported
Solidity Supported
Swift Supported
TypeScript Supported
YAML Supported
Claim Gemini 4 Flash and update features and information
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