DeepSWEAgentica Project
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Qwen3.8-27BAlibaba
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Related Products
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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.
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About
Qwen3.8-27B is an announced 27-billion-parameter model in Alibaba’s Qwen3.8 family, positioned as the compact open-weight counterpart to the much larger Qwen3.8-Max. Qwen introduced the broader Qwen3.8 generation as a new frontier model family focused on coding, agentic work, multimodal understanding, and long-running autonomous tasks. The 27B release is intended to bring that generation to a size that is far more practical for local deployment, experimentation, fine-tuning, and integration into developer workflows. Qwen has confirmed that Qwen3.8-27B will be released with open weights, extending the company’s line of downloadable mid-sized models for users who want direct control over inference and deployment. At the time of announcement, Qwen had not yet published the model card, benchmark table, architecture details, context length, quantization options, or complete deployment guidance for the 27B checkpoint.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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
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Audience
Application developers, engineers and individuals looking for a compact open-weight model for coding, agents, multimodal work, and self-hosted experimentation
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAgentica Project
Founded: 2025
United States
agentica-project.com
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Company InformationAlibaba
Founded: 1999
China
qwen.ai
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Categories |
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Integrations
Alibaba Cloud
Alibaba Cloud Model Studio
Cherry Studio
Cline
ClinePass
Hermes Agent
Hugging Face
Model Context Protocol (MCP)
ModelScope
Novita AI
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Integrations
Alibaba Cloud
Alibaba Cloud Model Studio
Cherry Studio
Cline
ClinePass
Hermes Agent
Hugging Face
Model Context Protocol (MCP)
ModelScope
Novita AI
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