DeepCoderAgentica Project
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Qwen2.5-CoderAlibaba
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Related Products
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About
DeepCoder is a fully open source code-reasoning and generation model released by Agentica Project in collaboration with Together AI. It is fine-tuned from DeepSeek-R1-Distilled-Qwen-14B using distributed reinforcement learning, achieving a 60.6% accuracy on LiveCodeBench (representing an 8% improvement over the base), a performance level that matches that of proprietary models such as o3-mini (2025-01-031 Low) and o1 while using only 14 billion parameters. It was trained over 2.5 weeks on 32 H100 GPUs with a curated dataset of roughly 24,000 coding problems drawn from verified sources (including TACO-Verified, PrimeIntellect SYNTHETIC-1, and LiveCodeBench submissions), each problem requiring a verifiable solution and at least five unit tests to ensure reliability for RL training. To handle long-range context, DeepCoder employs techniques such as iterative context lengthening and overlong filtering.
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About
Qwen2.5-Coder-32B-Instruct has become the current SOTA open source code model, matching the coding capabilities of GPT-4o. While demonstrating strong and comprehensive coding abilities, it also possesses good general and mathematical skills. As of now, Qwen2.5-Coder has covered six mainstream model sizes to meet the needs of different developers. We explore the practicality of Qwen2.5-Coder in two scenarios, including code assistants and artifacts, with some examples showcasing the potential applications of Qwen2.5-Coder in real-world scenarios. Qwen2.5-Coder-32B-Instruct, as the flagship model of this open source release, has achieved the best performance among open source models on multiple popular code generation benchmarks and has competitive performance with GPT-4o. Code repair is an important programming skill. Qwen2.5-Coder-32B-Instruct can help users fix errors in their code, making programming more efficient.
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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
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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
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Audience
Developers, researchers, and enthusiasts wanting a tool to generate, debug, or reason about code without relying on proprietary models
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Audience
Researchers and anyone wanting a solution to streamline and automate their tasks with AI
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationAgentica Project
Founded: 2025
United States
agentica-project.com
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Company InformationAlibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-coder-family/
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Alternatives |
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Categories |
Categories |
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Integrations
Hugging Face
Supported
Alibaba Cloud
Not Supported
BLACKBOX AI
Not Supported
C
Not Supported
C#
Not Supported
C++
Not Supported
CSS
Not Supported
Clojure
Not Supported
Elixir
Not Supported
F#
Not Supported
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Integrations
Hugging Face
Supported
Alibaba Cloud
Supported
BLACKBOX AI
Supported
C
Supported
C#
Supported
C++
Supported
CSS
Supported
Clojure
Supported
Elixir
Supported
F#
Supported
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