Alibaba

AQwen2.5 72B InstructOPEN

Qwen2.5 72B Instruct (Alibaba): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
33K
tokens
Input price
$0.36
per M tokens
Output price
$0.4
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 Qwen2.5 72B Instruct, measured by Artificial Analysis. Higher is better.

3.3×
More intelligence per dollar than Claude Opus 5 (Fast).
For the same budget, Qwen2.5 72B Instruct delivers 3.3 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index9.6
Math index14
GPQA49.1%
MMLU-Pro72%
Humanity's Last Exam4.2%
Long Context Reasoning20.3%
LiveCodeBench27.6%
SciCode26.7%
MATH-50085.8%
AIME16%
AIME 202514%
IFBench36.9%
τ²-Bench34.5%
Terminal-Bench Hard4.5%
💰 Blended price$0.48 / 1M tokens
📈 Value20 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Qwen2.5 72B Instruct 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 Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct 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 9.6 on the Artificial Analysis intelligence index.

Is Qwen2.5 72B Instruct free?

The weights are free and open — you can self-host Qwen2.5 72B Instruct and pay nothing per token. If you prefer a hosted API, list prices are $0.36 per million input tokens and $0.4 per million output tokens.

What is Qwen2.5 72B Instruct good at?

Independent benchmarks from Artificial Analysis give it GPQA 49.1%, MMLU-Pro 72%, Humanity's Last Exam 4.2%, Long Context Reasoning 20.3%, LiveCodeBench 27.6%, SciCode 26.7%, MATH-500 85.8%, AIME 16%, AIME 2025 14%, IFBench 36.9%, τ²-Bench 34.5%, Terminal-Bench Hard 4.5%. It is particularly used for mathematical reasoning.

Can I self-host Qwen2.5 72B Instruct?

Yes. Qwen2.5 72B Instruct 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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