parasail-qwen25-vl-72b-instruct

Qwen 2.5 VL 72B Instruct

VisionTool callingJSON schema
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Specifications

Context window33K tokens
Max output8K tokens
API typechat
AddedFeb 6, 2025
Model ID
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US

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 Parasail models overview.

Pricing

Prices updated July 30, 2026
Input / 1M
$0.70
Output / 1M
$0.70
Cache write
N/A
Cache read
N/A
Estimated cost
100K input + 10K output$0.0770
1M input + 100K output$0.77
10M input + 1M output$7.70

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 parasail/parasail-qwen25-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="parasail/parasail-qwen25-vl-72b-instruct", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Other Parasail models

Frequently asked questions

How much does parasail-qwen25-vl-72b-instruct cost?
parasail-qwen25-vl-72b-instruct is priced at $0.70 per million input tokens and $0.70 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 parasail-qwen25-vl-72b-instruct?
parasail-qwen25-vl-72b-instruct has a context window of 33K tokens, with a maximum output of 8K tokens per response. That's roughly 44 words of input you can fit in a single prompt.
What can parasail-qwen25-vl-72b-instruct do?
parasail-qwen25-vl-72b-instruct supports vision input, tool calling, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use parasail-qwen25-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 "parasail/parasail-qwen25-vl-72b-instruct". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run parasail-qwen25-vl-72b-instruct through Requesty?
Yes. parasail-qwen25-vl-72b-instruct runs through Requesty's OpenAI-compatible API, served from Parasail. You do not host the model yourself: point base_url at Requesty, set the model to "parasail/parasail-qwen25-vl-72b-instruct", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Access parasail-qwen25-vl-72b-instruct through Requesty

One API key, 600+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

All Parasail models