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Qwen3 VL 235B A22B ThinkingOPEN
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video.
Prices update automatically — checked daily against provider list prices.
- $1.3 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 9% of the 203 open-weight models tracked here
- 46 of 53 Alibaba models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Qwen3 VL 235B A22B Thinking, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.
Models at this level cost $0.75 per 1M tokens (median of 31) — this one costs $1.3.
Cheaper and better on this index: MiMo-V2.6-Pro · GLM 5.3 · GLM 5.3 (batch) and 79 more
About this model
Qwen3 VL 235B A22B Thinking is an open-weight AI model by Alibaba. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.
Frequently asked questions
What is Qwen3 VL 235B A22B Thinking?
Qwen3 VL 235B A22B Thinking is an AI language model from Alibaba. It is open-weight: you can download it and run it on your own hardware, for free. It scores 13.4 on the Artificial Analysis intelligence index.
Is Qwen3 VL 235B A22B Thinking free?
The weights are free and open — you can self-host Qwen3 VL 235B A22B Thinking and pay nothing per token. If you prefer a hosted API, list prices are $0.4 per million input tokens and $4 per million output tokens.
What is Qwen3 VL 235B A22B Thinking good at?
Independent benchmarks from Artificial Analysis give it GPQA 77.2%, MMLU-Pro 83.6%, Humanity's Last Exam 11.9%, Long Context Reasoning 63.7%, LiveCodeBench 64.6%, AIME 2025 88.3%, IFBench 56.5%, τ²-Bench 54.1%, Terminal-Bench Hard 11.4%. It is particularly used for mathematical reasoning.
Can I self-host Qwen3 VL 235B A22B Thinking?
Yes. Qwen3 VL 235B A22B Thinking has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.