Requesty
Alibaba (Qwen) logo

qwen2.5-72b-instruct

Alibaba (Qwen)/Open weights/1 provider

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance. Significantly outperforming prior models like QwQ and Qwen2.5, Qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. The Qwen3-30B-A3B variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131K token contexts with YaRN, setting a new standard among open-source models.More

Which id to call

deepinfra/Qwen/Qwen2.5-72B-Instruct

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

From /1M input

$0.23

DeepInfra Inc.

Context

131K

tokens

Endpoints

1

1 region

Regions

1

chat

Capabilities 2/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

1 endpoint / 1 region

Providers serving qwen2.5-72b-instruct

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving qwen2.5-72b-instruct, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1DeepInfra Inc.Global131K$0.23$0.40$0.23zdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

deepinfra/Qwen/Qwen2.5-72B-Instruct

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
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="deepinfra/Qwen/Qwen2.5-72B-Instruct", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

GPQA Diamondreasoning
49.1%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
7.7%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.

6

More from Alibaba (Qwen)

Reference

qwen2.5-72b-instruct questions

Which providers serve qwen2.5-72b-instruct?

qwen2.5-72b-instruct is available from 1 provider through Requesty: DeepInfra Inc.. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does qwen2.5-72b-instruct cost?

Pricing starts at $0.23 per million input tokens and $0.40 per million output tokens on DeepInfra Inc., the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is qwen2.5-72b-instruct open weights?

Yes. qwen2.5-72b-instruct is an open-weights model from Alibaba (Qwen), which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.

What is the context window of qwen2.5-72b-instruct?

qwen2.5-72b-instruct supports up to 131K tokens of context. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use qwen2.5-72b-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 "deepinfra/Qwen/Qwen2.5-72B-Instruct" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Route qwen2.5-72b-instruct through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

Benchmark rankings