Qwen2.5 7B Instruct (free)

qwen/qwen-2.5-7b-instruct:free

Created Oct 16, 202432,768 context
$0/M input tokens$0/M output tokens

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2:

  • Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains.

  • Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots.

  • Long-context Support up to 128K tokens and can generate up to 8K tokens.

  • Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.

Usage of this model is subject to Tongyi Qianwen LICENSE AGREEMENT.

Providers for Qwen2.5 7B Instruct (free)

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Context
33K
Max Output
33K
Input
$0
Output
$0

Throughput

Latency

Apps using Qwen2.5 7B Instruct (free)

Top public apps this week using this model

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Recent activity on Qwen2.5 7B Instruct (free)

Tokens processed per day

Apr 4Apr 5Apr 6Apr 7Apr 8Apr 9Apr 10Apr 11Apr 12Apr 13Apr 14Apr 15Apr 16035M70M105M140M

Uptime stats for Qwen2.5 7B Instruct (free)

Uptime stats for Qwen2.5 7B Instruct (free) on the only provider

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it.

Learn more about our load balancing and customization options.

Sample code and API for Qwen2.5 7B Instruct (free)

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

from openai import OpenAI

client = OpenAI(
  base_url="https://openrouter.ai/api/v1",
  api_key="<OPENROUTER_API_KEY>",
)

completion = client.chat.completions.create(
  extra_headers={
    "HTTP-Referer": "<YOUR_SITE_URL>", # Optional. Site URL for rankings on openrouter.ai.
    "X-Title": "<YOUR_SITE_NAME>", # Optional. Site title for rankings on openrouter.ai.
  },
  extra_body={},
  model="qwen/qwen-2.5-7b-instruct:free",
  messages=[
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
)
print(completion.choices[0].message.content)

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.

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