Qwen2.5-VL-72B Instruct

The flagship 72B Qwen2.5-VL vision-language model, notably good at document, chart and diagram understanding.

Params: 73.4B
Context: 33K tokens
Max output: 8K
Released: Jan 2025
License: Qwen License

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Hosted API pricing

How we price

Order

Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.

Prices

Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.

Cost

Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.

Transparency and funding

Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.

Every provider serving Qwen2.5-VL-72B Instruct, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Qwen2.5-VL-72B Instruct, with its price per 1M input and output tokens and what the volume above would cost
Provider	Input /1M	Output /1M	Cost at 10M in + 2M out	Link
Alibaba Cloud Creator	Open weights, no hosted price			Visit website

Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.

Estimated cost to self-host

Qwen2.5-VL-72B Instruct needs about 53 GB of GPU memory at 4-bit with its full 32K context. The cheapest rental that fits is 8× RTX 3070 at about $576 a month.

Single node ≤ 8

What it costs to self-host Qwen2.5-VL-72B Instruct at each precision: the memory it needs, the cheapest rental that holds it, that rental's month and the API volume it pays off at
Precision	Memory	Cheapest fit (Full 32K context)	Cost /mo
4-bit INT4 / FP4	53 GB	8× RTX 3070	$576
8-bit FP8 / INT8	86 GB	4× RTX 3090	$662
16-bit FP16 / BF16	160 GB	8× RTX 3090	$1,325

Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.

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Per-second billing, with no charge for cold starts or image pulls

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Capabilities

What Qwen2.5-VL-72B Instruct accepts and can do, as published by Alibaba Cloud.

Text Accepts and generates natural-language text.
Image Accepts images as input alongside text.
Video Accepts video as input.
Function calling Connect to external tools, APIs, and systems.
Structured output Return responses in structured formats like JSON.

Common questions

What is Qwen2.5-VL-72B Instruct good for?

Reading documents, charts and diagrams from images and video, and visual agent tasks such as computer and phone use. Open weights under the Qwen License, on a single high-memory GPU.

When is Qwen2.5-VL-72B Instruct not a good fit?

Audio input, and long-document work, which its short context rules out. The Qwen License rather than Apache 2.0 needs checking before commercial use.

What is the cheapest way to run Qwen2.5-VL-72B Instruct?

No provider we track hosts it; self-hosting on the cheapest rental that fits (8x RTX 3070, $0.80 per hour) costs about $576 a month.

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

Yes. The weights are released under the Qwen License. At 4-bit it needs about 53 GB of GPU memory, which starts at roughly $576 a month on the cheapest rental that fits.