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Qwen3 30B A3BOPEN
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks.
Prices update automatically — checked daily against provider list prices.
- $0.22 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 60% of the 191 open-weight models tracked here
- 13 of 51 Alibaba models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Qwen3 30B A3B, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.
Models at this level cost $0.2 per 1M tokens (median of 26) — this one costs $0.22.
Cheaper and better on this index: GLM 5.3 Flash · DeepSeek V4 Flash 0731 · DeepSeek V4 Flash 0423 and 27 more
About this model
Qwen3 30B A3B 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 30B A3B?
Qwen3 30B A3B 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 9.2 on the Artificial Analysis intelligence index.
Is Qwen3 30B A3B free?
The weights are free and open — you can self-host Qwen3 30B A3B and pay nothing per token. If you prefer a hosted API, list prices are $0.12 per million input tokens and $0.5 per million output tokens.
What is Qwen3 30B A3B good at?
Independent benchmarks from Artificial Analysis give it GPQA 61.6%, MMLU-Pro 77.7%, Humanity's Last Exam 6.2%, Long Context Reasoning 0%, LiveCodeBench 50.6%, SciCode 28.5%, MATH-500 95.9%, AIME 75.3%, AIME 2025 72.3%, IFBench 41.5%, τ²-Bench 26%, Terminal-Bench Hard 2.3%. It is particularly used for mathematical reasoning.
Can I self-host Qwen3 30B A3B?
Yes. Qwen3 30B A3B 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.