Alibaba

AQwen3 VL 8B ThinkingOPEN

Qwen3 VL 8B Thinking (Alibaba): live API pricing, context window and the best open-source alternatives, tracked daily by OpenSourceAI.tech.

Context window
131K
tokens
Input price
$0.18
per M tokens
Output price
$2.1
per M tokens
Provider
Alibaba

Prices update automatically — checked hourly against provider list prices.

See model comparisons → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Qwen3 VL 8B Thinking, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

2.6×
More intelligence per dollar than Claude Opus 5.
For the same budget, Qwen3 VL 8B Thinking delivers 2.6 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index10.6
Math index30.7
GPQA57.9%
MMLU-Pro74.9%
Humanity's Last Exam3.3%
Long Context Reasoning31%
LiveCodeBench35.3%
SciCode21.9%
AIME 202530.7%
IFBench39.9%
τ²-Bench22.5%
Terminal-Bench Hard3.8%
💰 Blended price$0.66 / 1M tokens
📈 Value16.1 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Qwen3 VL 8B 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 hourly, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Qwen3 VL 8B Thinking?

Qwen3 VL 8B 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 10.6 on the Artificial Analysis intelligence index.

Is Qwen3 VL 8B Thinking free?

The weights are free and open — you can self-host Qwen3 VL 8B Thinking and pay nothing per token. If you prefer a hosted API, list prices are $0.18 per million input tokens and $2.1 per million output tokens.

What is Qwen3 VL 8B Thinking good at?

Independent benchmarks from Artificial Analysis give it GPQA 57.9%, MMLU-Pro 74.9%, Humanity's Last Exam 3.3%, Long Context Reasoning 31%, LiveCodeBench 35.3%, SciCode 21.9%, AIME 2025 30.7%, IFBench 39.9%, τ²-Bench 22.5%, Terminal-Bench Hard 3.8%. It is particularly used for mathematical reasoning.

Can I self-host Qwen3 VL 8B Thinking?

Yes. Qwen3 VL 8B 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.

Open-source alternatives

Depending on your workload, an open-weight model that you can self-host may cut costs dramatically or remove per-token pricing entirely. Our comparison pages put this model side by side with the strongest open-source contenders.

Qwen3.6 PlusAlibabaQwen3.7 PlusAlibabaQwen3.7 MaxAlibabaQwen3.5-FlashAlibabaQwen3.6 35B A3BAlibabaQwen3 235B A22B Instruct 2507Alibaba