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qwen/qwen-2.5-72b-instruct

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters.

🔧Tool calling
Try qwen/qwen-2.5-72b-instructCompareDocs

Specifications

Context window32K tokens
Max output—
API typechat
AddedApr 28, 2025
Model IDnovita/qwen/qwen-2.5-72b-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
$0.38
Output / 1M
$0.40
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0420
1M input + 100K output$0.42
10M input + 1M output$4.20

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/qwen-2.5-72b-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/qwen-2.5-72b-instruct",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

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qwen/qwen3.5-397b-a17b
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zai-org/glm-4.5
131K ctx$0.60/1M
zai-org/glm-4.6
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Frequently asked questions

How much does qwen/qwen-2.5-72b-instruct cost?
qwen/qwen-2.5-72b-instruct is priced at $0.38 per million input tokens and $0.40 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/qwen-2.5-72b-instruct?
qwen/qwen-2.5-72b-instruct has a context window of 32K tokens. That's roughly 43 words of input you can fit in a single prompt.
What can qwen/qwen-2.5-72b-instruct do?
qwen/qwen-2.5-72b-instruct supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use qwen/qwen-2.5-72b-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/qwen-2.5-72b-instruct". The Quickstart above shows Python, JavaScript and cURL snippets.

Access qwen/qwen-2.5-72b-instruct through Requesty

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