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OpenKey

Qwen2.5 7B Instruct

QwenReleased Oct 16, 2024

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...

Try in playground
Context window
131K tokens
Max output
33K tokens
Input
text
Output
text
Tokenizer
Qwen
Knowledge cutoff
Jun 30, 2024
Released
Oct 16, 2024

Pricing

Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.

Per 1M tokensProvider+ 3% feeYou pay
Input$0.040$0.0012$0.041
Output$0.100$0.0030$0.103

Supported parameters

  • frequency_penalty
  • logit_bias
  • logprobs
  • max_tokens
  • min_p
  • presence_penalty
  • repetition_penalty
  • response_format
  • seed
  • stop
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_k
  • top_logprobs
  • top_p

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model qwen/qwen-2.5-7b-instruct.

Code sample language
curl https://api.openkey.ai/v1/chat/completions \
  -H "Authorization: Bearer $OPENKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen-2.5-7b-instruct",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.openkey.ai/v1",
    api_key=os.environ["OPENKEY_API_KEY"],
)

completion = client.chat.completions.create(
    model="qwen/qwen-2.5-7b-instruct",
    messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.openkey.ai/v1",
  apiKey: process.env.OPENKEY_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "qwen/qwen-2.5-7b-instruct",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen2.5 7B Instruct cost via API?
Through OpenKey, Qwen2.5 7B Instruct costs $0.041 per 1M input tokens and $0.103 per 1M output tokens. That is the provider price ($0.040 / $0.100) plus a flat 3% fee — nothing else.
What is Qwen2.5 7B Instruct's context window?
Qwen2.5 7B Instruct accepts up to 131K tokens of context and returns up to 33K tokens per request.
Is Qwen2.5 7B Instruct OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen-2.5-7b-instruct" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen2.5 7B Instruct support?
Qwen2.5 7B Instruct accepts text input and produces text output. Its knowledge cutoff is Jun 30, 2024.

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