DeepSWE vs. GPT-6.1 Sol Comparison


DeepSWE Agentica Project	GPT-6.1 Sol OpenAI	+	+
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About DeepSWE is a fully open source, state-of-the-art coding agent built on top of the Qwen3-32B foundation model and trained exclusively via reinforcement learning (RL), without supervised finetuning or distillation from proprietary models. It is developed using rLLM, Agentica’s open source RL framework for language agents. DeepSWE operates as an agent; it interacts with a simulated development environment (via the R2E-Gym environment) using a suite of tools (file editor, search, shell-execution, submit/finish), enabling it to navigate codebases, edit multiple files, compile/run tests, and iteratively produce patches or complete engineering tasks. DeepSWE exhibits emergent behaviors beyond simple code generation; when presented with bugs or feature requests, the agent reasons about edge cases, seeks existing tests in the repository, proposes patches, writes extra tests for regressions, and dynamically adjusts its “thinking” effort.	About GPT-6.1 Sol is an OpenAI model designed to deliver near-GPT-6 Astra intelligence at substantially lower cost across coding, professional work, computer use, scientific research, and agentic workflows. It improves on GPT-6 Sol across complex tasks such as software engineering, document analysis, multi-step business automation, and computer interaction. On DeepSWE v1.1, GPT-6.1 Sol matches GPT-6 Astra at roughly one-fifth of the cost while exceeding GPT-6 Sol's best score by 6.4 percentage points at a lower reasoning effort. The model also improves computer use, outperforming GPT-6 Sol by seven percentage points on the OSWorld 2.0 offline set at maximum reasoning effort while costing less than half as much per task. GPT-6.1 Sol provides improved factuality and alignment, including greater transparency about limitations and stronger adherence to user instructions during agentic tasks. It is available through ChatGPT Work, Codex, and the OpenAI API.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises 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 engineers, researchers, and developers seeking a solution to assist with real-world coding tasks such as bug-fixing, pull-request automation, and multi-file code edits	Audience Software developers, engineers, researchers, enterprises, AI application builders, professional knowledge workers, and agent developers that need advanced coding, reasoning, computer-use, scientific, document-analysis, and business-automation capabilities
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 Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing $2 per 1M tokens (input) Input: $2 per 1 million tokens Output: $10 per 1 million tokens Cached Input: $0.10 per 1 million cached input tokens Free Version Not 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 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros The biggest improvement for me is that it gets very close to Astra-level performance without Astra-level pricing. I can use it for serious coding, research, computer-use tasks, and long agent workflows without feeling like every run needs to be reserved for something mission-critical. The 1.05M-token context window is still a huge advantage. I can keep large repos, specs, logs, documentation, and a lot of prior agent work in context without constantly trimming things down. I also really like the new multi-agent support. Being able to let Sol delegate parts of a bigger task to subagents makes it much more useful for complicated projects where research, coding, testing, and analysis can happen in parallel. Cons The main downside is that Astra is still the model I would reach for when I absolutely want maximum capability and cost is secondary. Sol also no longer supports the none or minimal reasoning settings, so it is less suited to truly lightweight work than Luna.
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 Agentica Project Founded: 2025 United States agentica-project.com	Company Information OpenAI Founded: 2015 United States openai.com
Alternatives Devstral 2 Mistral AI	Alternatives Gemini 4 Argon Google
Devstral Small 2 Mistral AI	Claude Sonnet 5.5 Anthropic
DeepCoder Agentica Project	Claude Fable 5.1 Anthropic
Qwen2.5-Max Alibaba	GPT-6 Luna OpenAI
KAT-Coder-Pro V2 StreamLake View All	GPT-6 Sol OpenAI View All
Categories AI Coding Models Supported AI Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported AI Vision Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported

Integrations .NET Not Supported AiAssistWorks Not Supported Anuma Not Supported Brokk Not Supported ChatGPT Plus Not Supported Devin Not Supported Devin Desktop Not Supported Doraverse Not Supported Kotlin Not Supported Kubernetes Not Supported Lorka Not Supported Microsoft Copilot Studio Not Supported OpenAI Not Supported OpenAI Dots Not Supported Perplexity Computer Not Supported Pi Agent Not Supported Rust Not Supported SQL Not Supported Swift Not Supported Vercel AI Gateway Not Supported Show More Integrations View All 1 Integration	Integrations .NET Supported AiAssistWorks Supported Anuma Supported Brokk Supported ChatGPT Plus Supported Devin Supported Devin Desktop Supported Doraverse Supported Kotlin Supported Kubernetes Supported Lorka Supported Microsoft Copilot Studio Supported OpenAI Supported OpenAI Dots Supported Perplexity Computer Supported Pi Agent Supported Rust Supported SQL Supported Swift Supported Vercel AI Gateway Supported Show More Integrations View All 129 Integrations
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