PanGu-αHuawei
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Qwen CodeQwen
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Related Products
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About
PanGu-α is developed under the MindSpore and trained on a cluster of 2048 Ascend 910 AI processors. The training parallelism strategy is implemented based on MindSpore Auto-parallel, which composes five parallelism dimensions to scale the training task to 2048 processors efficiently, including data parallelism, op-level model parallelism, pipeline model parallelism, optimizer model parallelism and rematerialization. To enhance the generalization ability of PanGu-α, we collect 1.1TB high-quality Chinese data from a wide range of domains to pretrain the model. We empirically test the generation ability of PanGu-α in various scenarios including text summarization, question answering, dialogue generation, etc. Moreover, we investigate the effect of model scales on the few-shot performances across a broad range of Chinese NLP tasks. The experimental results demonstrate the superior capabilities of PanGu-α in performing various tasks under few-shot or zero-shot settings.
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About
Qwen3‑Coder is an agentic code model available in multiple sizes, led by the 480B‑parameter Mixture‑of‑Experts variant (35B active) that natively supports 256K‑token contexts (extendable to 1M) and achieves state‑of‑the‑art results on Agentic Coding, Browser‑Use, and Tool‑Use tasks comparable to Claude Sonnet 4. Pre‑training on 7.5T tokens (70 % code) and synthetic data cleaned via Qwen2.5‑Coder optimized both coding proficiency and general abilities, while post‑training employs large‑scale, execution‑driven reinforcement learning and long‑horizon RL across 20,000 parallel environments to excel on multi‑turn software‑engineering benchmarks like SWE‑Bench Verified without test‑time scaling. Alongside the model, the open source Qwen Code CLI (forked from Gemini Code) unleashes Qwen3‑Coder in agentic workflows with customized prompts, function calling protocols, and seamless integration with Node.js, OpenAI SDKs, and more.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI developers interested in a powerful large language model
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Audience
AI researchers and software engineers interested in a tool providing an agentic coding model with large‑context support and turnkey CLI tools for real‑world, and automated code generation
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
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Support
Phone Support
Not Supported
24/7 Live Support
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Online
Supported
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API
Offers API
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API
Offers API
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Screenshots and VideosNo images available
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
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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
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In Person
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Training
Documentation
Supported
Webinars
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Live Online
Supported
In Person
Not Supported
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Company InformationHuawei
Founded: 1987
China
arxiv.org/abs/2104.12369
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Company InformationQwen
Founded: 2023
China
github.com/QwenLM/qwen-code
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Categories |
Categories |
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Integrations
Alibaba AI Coding Plan
Not Supported
Claude Mythos 5
Not Supported
Claude Mythos 5.1
Not Supported
Claude Opus 4.5
Not Supported
Claude Opus 4.7
Not Supported
Claude Opus 4.8
Not Supported
Claude Opus 5.5
Not Supported
Claude Sonnet 4.6
Not Supported
Melaya
Not Supported
Node.js
Not Supported
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Integrations
Alibaba AI Coding Plan
Supported
Claude Mythos 5
Supported
Claude Mythos 5.1
Supported
Claude Opus 4.5
Supported
Claude Opus 4.7
Supported
Claude Opus 4.8
Supported
Claude Opus 5.5
Supported
Claude Sonnet 4.6
Supported
Melaya
Supported
Node.js
Supported
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