Qwen 3 235B is Alibaba's flagship open-source language model with 235 billion parameters, featuring a 128K token context window and strong performance in coding and reasoning tasks.
| Provider | Input / 1M | Output / 1M |
|---|---|---|
| $0.090 | $0.550 | |
| $0.090 | $0.580 | |
| $0.230 | $2.30 |
Prices updated daily. Last check: Sep 6, 2026
Input, output, and batch rates, plus alternatives, for one provider at a time.
Benchmarks measured Jun 2026. Scores are independent evaluations, not vendor-reported.
Qwen 3 235B is designed for demanding applications that require maximum language model capability, including complex reasoning tasks, advanced code generation and debugging, long-document analysis within its 128K context window, and sophisticated chatbot implementations. Its open-source nature makes it particularly suitable for organizations requiring on-premises deployment, model customization, or fine-tuning for specialized domains. The model's substantial size makes it appropriate for use cases where response quality is prioritized over inference speed, such as research applications, content creation workflows, and enterprise assistant implementations that benefit from its tool calling capabilities.
Qwen 3 235B pricing varies by provider and may include both hosted API access and self-hosting options since it's open-source. Check the pricing table above for current rates across all providers offering this model.
Qwen 3 235B excels at complex reasoning tasks, advanced code generation and debugging, long-document processing up to 128K tokens, and applications requiring tool calling capabilities. Its 235B parameter size makes it suitable for demanding use cases where response quality is more important than speed.
Yes, Qwen 3 235B is open-source with downloadable model weights, allowing self-hosting and customization. However, the 235 billion parameter size requires significant computational resources including multiple high-end GPUs and substantial memory for efficient inference.