Qwen2.5 7B Instruct

• GPQA DiamondVery hard multiple-choice questions in biology, physics and chemistry, written by PhD experts. Random guessing scores 25%.35.5%#109 of 116
• AIME mathCompetition-level math problems in the style of the American Invitational Mathematics Examination. Share solved.2.5%#107 of 112

Benchmark data: Epoch AI, licensed CC BY 4.0

Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Call Qwen2.5 7B Instruct through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen/qwen-2.5-7b-instruct", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

import os
from openai import OpenAI

client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
    model="qwen/qwen-2.5-7b-instruct",
    messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
  model: "qwen/qwen-2.5-7b-instruct",
  messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

• 1,000 chat replies

  ≈ 500 tokens in, 300 out each
  $0.11
• Summarise a 100-page document

  ≈ 50,000 tokens in, 1,000 out
  $0.0052
• An app with 10,000 requests a day for a month

  ≈ 1,000 tokens in, 400 out each
  $54.00

Cost calculator →

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How much does Qwen2.5 7B Instruct cost?

Qwen2.5 7B Instruct costs $0.10 per million input tokens and $0.20 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.11.

What is the context window of Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct can read up to 32,768 tokens in one request, about 61 pages of text. It can write up to 29,491 tokens in a single answer.

Is Qwen2.5 7B Instruct open source?

Yes. Its weights are published (Qwen/Qwen2.5-7B-Instruct), so you can download it and run it on your own hardware, or use it through one of 1 API providers.

Who makes Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is made by Alibaba Qwen. It became available through the API on October 16, 2024.

How good is Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct has an overall index of 118.4 in Epoch AI’s independent tests, ranking #132 of 136 models we track.

Can Qwen2.5 7B Instruct read images?

No. Qwen2.5 7B Instruct only accepts text as input.

What are the alternatives to Qwen2.5 7B Instruct?

Models with a similar price from other companies include GPT-6 Luna Pro, Muse Spark 1.3 Contributor and Reka Edge. You can compare them side by side on this page.