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qwen/qwen2.5-vl-72b-instruct

Qwen2 VL 72B is a multimodal LLM from the Qwen Team with the following key enhancements: SoTA understanding of images of various resolution & ratio: Qwen2-VL achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc. Understanding videos of 20min+: Qwen2-VL can understand videos over 20 minutes for high-quality video-based question answering, dialog, content creation, etc. Agent that can operate your mobiles, robots, etc.: with the abilities of complex reasoning and decision making, Qwen2-VL can be integrated with devices like mobile phones, robots, etc., for automatic operation based on visual environment and text instructions. Multilingual Support: to serve global users, besides English and Chinese, Qwen2-VL now supports the understanding of texts in different languages inside images, including most European languages, Japanese, Korean, Arabic, Vietnamese, etc.

Try qwen/qwen2.5-vl-72b-instructCompareDocs

Specifications

Context window96K tokens
Max output—
API typechat
AddedApr 28, 2025
Model IDnovita/qwen/qwen2.5-vl-72b-instruct
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyNovita AI Privacy Policy →

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Novita AI models overview.

Pricing

Input / 1M
$0.80
Output / 1M
$0.80
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0880
1M input + 100K output$0.88
10M input + 1M output$8.80

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to novita/qwen/qwen2.5-vl-72b-instruct.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="novita/qwen/qwen2.5-vl-72b-instruct",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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Frequently asked questions

How much does qwen/qwen2.5-vl-72b-instruct cost?
qwen/qwen2.5-vl-72b-instruct is priced at $0.80 per million input tokens and $0.80 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of qwen/qwen2.5-vl-72b-instruct?
qwen/qwen2.5-vl-72b-instruct has a context window of 96K tokens. That's roughly 128 words of input you can fit in a single prompt.
What can qwen/qwen2.5-vl-72b-instruct do?
qwen/qwen2.5-vl-72b-instruct is a text-generation model you can call through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use qwen/qwen2.5-vl-72b-instruct with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/qwen/qwen2.5-vl-72b-instruct". The Quickstart above shows Python, JavaScript and cURL snippets.

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