Composer 2.5 vs. SWE-2 Flash Comparison


Composer 2.5 Cursor	SWE-2 Flash Cognition	+	+
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About Composer 2.5 is the latest AI coding model released by Cursor, offering major improvements in intelligence, collaboration, and long-task performance compared to Composer 2. The model is designed to follow complex instructions more accurately while providing a smoother and more natural user experience during coding sessions. Cursor enhanced Composer 2.5 through larger-scale training, more advanced reinforcement learning environments, and improved behavioral tuning focused on communication and effort calibration. The model uses targeted reinforcement learning with textual feedback to correct specific mistakes during training, helping it avoid issues like invalid tool calls or poor coding behavior. Composer 2.5 was also trained using significantly more synthetic coding tasks, enabling it to handle increasingly difficult programming challenges and real-world development scenarios.	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 Supported Mac Supported Linux 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, engineering teams, AI researchers, and enterprise organizations looking for advanced AI-assisted coding and large-scale software development solutions	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 Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $0.50/M input $0.50/M input and $2.50/M output tokens Free Version Supported Free Trial Not Supported	Pricing $20/month Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
Pros & Cons from Real Users Pros Composer 2.5 feels like a very practical coding model because it is built for the place I actually use it: Cursor. It is fast, focused, and tuned for agentic coding work instead of trying to be a general-purpose chatbot that also happens to write code. The cost-performance balance is the biggest win. If a model can stay near the top of coding-agent rankings while being dramatically cheaper than heavier flagship models, that matters a lot for everyday development. I also like that it feels optimized for real Cursor workflows. It can help with multi-file edits, repo exploration, implementation, debugging, and agent-style tasks without making every run feel slow or expensive. Cons Composer 2.5 is still not the model I would blindly trust for every hard architecture decision or risky production change. I would still review diffs, run tests, and use stronger models when the task needs deeper reasoning. It is also tied closely to Cursor, which is great if you already live there, but less ideal if you want a model you can use everywhere with the same workflow.	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 Cursor Founded: 2022 United States cursor.com	Company Information Cognition Founded: 2023 United States cognition.com
Alternatives Claude Code Anthropic	Alternatives Gemini 4 Carbon Google
Gemini 4 Carbon Google	GPT-6.1 Terra OpenAI
GPT-6.1 Terra OpenAI	GPT-6.1 Sol OpenAI
Composer 1.5 Cursor	Inkling Thinking Machines Lab
Composer 1 Cursor View All	Nemotron 3.5 Super VL NVIDIA View All
Categories AI Coding Models Supported AI Models Supported	Categories AI Coding Models Supported AI Models Supported

Integrations .NET Supported C Supported C# Supported Dart Supported JavaScript Supported Kotlin Supported Kubernetes Supported Lua Supported Objective-C Supported PHP Supported PowerShell Supported R Supported Ruby Supported Rust Supported SQL Supported Scala Supported Solidity Supported Swift Supported TypeScript Supported XML Supported Show More Integrations View All 30 Integrations	Integrations .NET Supported C Supported C# Supported Dart Supported JavaScript Supported Kotlin Supported Kubernetes Supported Lua Supported Objective-C Supported PHP Supported PowerShell Supported R Supported Ruby Supported Rust Supported SQL Supported Scala Supported Solidity Supported Swift Supported TypeScript Supported XML Supported Show More Integrations View All 32 Integrations
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