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Google DeepMind
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Q2
Alibaba / Qwen Advanced
Qwen3-235B-A22B
Qwen3-235B-A22B is Qwen's Apache-2.0 flagship MoE with 235B total and 22B active parameters, hybrid thinking, 128K native context and 119-language support.
Open-Weight Language ModelText Free
What is this model and why does it matter?
Qwen3-235B-A22B is Qwen's flagship mixture-of-experts model with 235B total and 22B active parameters. It supports hybrid thinking, coding, math, agents and broad multilingual use.
ReasoningCodingAgentsMultilingual applicationsOpen-weight researchSelf-hosted enterprise AI
Qwen3-235B-A22B: features, use cases and important details
Qwen3-235B-A22B is Qwen’s flagship mixture-of-experts model for reasoning, coding, agents and multilingual work.
Qwen3-235B-A22B verified specifications
Qwen documents 235B total parameters, 22B activated parameters, 128 experts with 8 active per token and a native 128K context window. The Qwen3 family supports hybrid thinking and strong coding and agentic workflows.
License and deployment
The weights are released under Apache 2.0 and can be served with frameworks such as vLLM and SGLang. Updated 2507 variants extend long-context capabilities beyond the original release.
Best uses
The model is a strong fit for open reasoning systems, coding assistants, agent frameworks and multilingual enterprise applications.
Limitations
Serving the model locally requires significant multi-GPU infrastructure, and users should distinguish the original release from newer Instruct and Thinking checkpoints.
How to use this model
- Download the official Qwen3 weights or a current Qwen3-235B-A22B variant.
- Install a supported Transformers, vLLM or SGLang stack.
- Provision multi-GPU infrastructure.
- Use thinking or instruction variants appropriate to the workflow.
- Evaluate context length and serving cost before production.
Example prompts
Solve this complex engineering problem and show the final decision clearly.Review this codebase and propose a robust implementation plan.Build an agent workflow that uses tools to complete this research task.
What it can do
- 235B total / 22B active MoE
- Hybrid thinking
- 128K native context
- Coding
- Reasoning
- Agentic capabilities
- 119 languages
Practical use cases
- Open reasoning systems
- Coding assistants
- Agent frameworks
- Multilingual AI
- Research
What does it cost?
Qwen3-235B-A22B weights are released under Apache 2.0 with no per-token license fee. API or cloud inference costs depend on the provider and serving platform.
Simple summaryThe model weights are free under Apache 2.0, but serving a 235B MoE model requires substantial multi-GPU infrastructure. Hosted provider prices vary.
What stands out
- Apache 2.0 license
- Strong reasoning and coding
- Large multilingual coverage
- Efficient MoE activation
Things to consider
- Large multi-GPU serving requirement
- Multiple Qwen3 variants can be confusing
- Cloud pricing varies by provider
Important restrictions and trade-offs
- Original and 2507 variants have different context behavior
- Local deployment is infrastructure intensive
- Generated answers can still be wrong
Our editorial take
A major high-demand open model for developers who want frontier-scale reasoning, coding and agent capabilities without a closed-model license.