AI model by Alibaba Cloud
Qwen3-Coder for business
Qwen's open-weight coding models under Apache 2.0, from the efficient Qwen3-Coder-Next to the large 480B model, with tool use and long context.
- Coding
- Open weights
- Open weights
- Reviewed on September 24, 2026
- Alibaba Cloud
Capability tiersRelative, not benchmarks
Key facts about Qwen3-Coder
- Model ID at review
- Qwen3-Coder-Next, Qwen3-Coder-480B-A35B
- Provider
- Alibaba Cloud
- Main category
- Coding
- Open weights
- Yes, Apache 2.0
- Last reviewed
- September 24, 2026
Fit
Where it fits and where it does not
Good at
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Self-hosted coding assistants under Apache 2.0.
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Efficient local use with Qwen3-Coder-Next.
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Long code context, 262K tokens or more.
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Tool use in coding tools.
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Keeping private code on your own servers.
Not the right choice for
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Image input.
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General business chat.
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Teams that prefer not to run their own models.
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Assuming API features without checking, since the API and model card differ.
Use cases
Business use cases we would use it for
Private code assistant
Local development
Test and review help
Our notes
When we would choose it
Qwen3-Coder is Alibaba's family of open-weight coding models, released under the Apache 2.0 license. It replaces the older Qwen2.5-Coder. Qwen3-Coder-Next, released in February 2026, is built for local and IDE use, with 80 billion parameters in total and about 3 billion active, and a 262K token context window. The larger Qwen3-Coder-480B-A35B, from 2025, supports 262K tokens natively, extendable to about 1 million.
For businesses that cannot send source code to an outside API, these models are among the strongest self-hosted options. A team server running Coder-Next can power completion, explanation and test drafting without code leaving the network.
One detail to check: Alibaba's Model Studio page says the API version of Coder-Next does not support function calling or structured output, while the model card lists tool use. The behavior depends on how you run it, so test your exact setup.
Self-hosted coding models are usually a step behind the best hosted models on hard, multi-file tasks. Many teams combine them: a local model for everyday completion and a hosted model such as Claude Opus for bigger changes, where the code policy allows it.
For another hosted, low-latency option, see Codestral. For open models that also read images, see Gemma 4. See coding models.
Before you commit
Things to check before you commit
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API differences
Alibaba notes the API version of Coder-Next does not support function calling or structured output, unlike the model card. Test your setup.
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Hardware
Coder-Next has 3B active of 80B total parameters. The 480B model needs far more.
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License
Apache 2.0 is permissive. Confirm it fits your use.
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Your stack
Test with your languages and frameworks.
Alternatives
Models to compare it with
Codestral 25.08
Mistral's low-latency coding model for code completion and generation, with fill-in-the-middle support, tool calling and a 128K window.
Qwen3.8-Max
Alibaba's current Qwen flagship for long autonomous coding and professional work, with image and video input, tool calling, JSON Schema output and a 1 million token window.
Mistral Small 4
Mistral's efficient open-weight model under Apache 2.0, one hybrid model for instructions, reasoning and coding, with tool calling and a 256K window.
Keep exploring
Solutions, services and guides
Related services
View all related servicesSolutions
View all solutions- Internal help desk assistant An assistant in Slack or Teams that answers policy and how-to questions from your handbooks and opens tickets when needed.
- Automated quoting Draft accurate quotes and proposals from a request, your price rules and past work, for a person to approve.
- AI-assisted content workflows Briefs, first drafts, edits and repurposing in a workflow where people set the angle and approve every word.
- Payroll automation Turn pay rules, attendance and leave into tested software so the monthly run becomes a review and payslips go out in one batch.
- Screening assistant Summarize each application against your criteria, flag strong matches and missing information, and leave every decision to a person.
Industries
View all industriesGuides and articles
View all guides and articlesMCP servers
View all mcp servers- Context7 Upstash's Context7 MCP server gives coding assistants current, version-specific documentation for thousands of libraries.
- Git The MCP project's Git reference server lets AI read history and diffs and stage, commit and switch branches in a local repository.
- GitHub GitHub's official MCP server lets AI read repositories, search code, manage issues and pull requests and, when allowed, change files.
- GitLab GitLab's built-in MCP server lets AI read projects, code, merge requests and pipelines and create commits and work items. In beta.
- Sentry Sentry's official MCP server lets AI search errors, events and traces, read issue details, get AI analysis and update issues.
- Sequential Thinking The MCP project's Sequential Thinking reference server gives AI a structured way to break a problem into steps and revise them.
Glossary terms
View all glossary terms- AI copilot An AI copilot is an assistant built into a tool people already use, which suggests, drafts and explains while the person stays in control.
- Large language model A large language model, or LLM, is an AI model trained on vast amounts of text that can understand and generate language, and often images and code.
- Claude Code Claude Code is Anthropic's agentic coding tool, which works in a developer's terminal, IDE, desktop app or browser to read code, run commands and make changes.
- Chatbot A chatbot is software that holds a conversation with people through text or voice, answering questions or completing simple tasks.
- Embeddings Embeddings are lists of numbers that represent the meaning of text or images, so software can find items that are similar in meaning.
- Prompt A prompt is the instruction and context you give an AI model to get the output you want.
FAQ
Questions people ask us
Have a question that is not here? Ask us directly.
The Qwen3-Coder models listed here are released under Apache 2.0. Read the license for your case.
Qwen3-Coder-Next is designed for efficient local use. The 480B model needs much more hardware.
The Qwen3-Coder family.