Alibaba

AQwen3 235B A22BOPEN

Qwen3 235B A22B (Alibaba): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
131K
tokens
Input price
$0.45
per M tokens
Output price
$1.82
per M tokens
Provider
Alibaba

Prices update automatically — checked hourly against provider list prices.

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Benchmarks & performance

Independent benchmark scores for Qwen3 235B A22B, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

Intelligence index13.4
Math index82
GPQA70%
MMLU-Pro82.8%
Humanity's Last Exam11.7%
Long Context Reasoning0%
LiveCodeBench62.2%
SciCode39.9%
MATH-50093%
AIME84%
AIME 202582%
IFBench38.7%
τ²-Bench24%
Terminal-Bench Hard6.1%
💰 Blended price$2.625 / 1M tokens
📈 Value5.1 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Qwen3 235B A22B 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 235B A22B?

Qwen3 235B A22B 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 235B A22B free?

The weights are free and open — you can self-host Qwen3 235B A22B and pay nothing per token. If you prefer a hosted API, list prices are $0.45 per million input tokens and $1.82 per million output tokens.

What is Qwen3 235B A22B good at?

Independent benchmarks from Artificial Analysis give it GPQA 70%, MMLU-Pro 82.8%, Humanity's Last Exam 11.7%, Long Context Reasoning 0%, LiveCodeBench 62.2%, SciCode 39.9%, MATH-500 93%, AIME 84%, AIME 2025 82%, IFBench 38.7%, τ²-Bench 24%, Terminal-Bench Hard 6.1%. It is particularly used for mathematical reasoning.

Can I self-host Qwen3 235B A22B?

Yes. Qwen3 235B A22B 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.

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