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OpenKey

Qwen2.5 VL 72B Instruct

QwenReleased Feb 1, 2025

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

Try in playground
Context window
131K tokens
Max output
128K tokens
Input
text, image
Output
text
Tokenizer
Qwen
Knowledge cutoff
Jun 30, 2024
Released
Feb 1, 2025

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$0.800$0.024$0.824
Output$1.00$0.030$1.03
Cache read$0.400$0.012$0.412

Supported parameters

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

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model qwen/qwen2.5-vl-72b-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/qwen2.5-vl-72b-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/qwen2.5-vl-72b-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/qwen2.5-vl-72b-instruct",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen2.5 VL 72B Instruct cost via API?
Through OpenKey, Qwen2.5 VL 72B Instruct costs $0.824 per 1M input tokens and $1.03 per 1M output tokens. That is the provider price ($0.800 / $1.00) plus a flat 3% fee — nothing else.
What is Qwen2.5 VL 72B Instruct's context window?
Qwen2.5 VL 72B Instruct accepts up to 131K tokens of context and returns up to 128K tokens per request.
Is Qwen2.5 VL 72B Instruct OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen2.5-vl-72b-instruct" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen2.5 VL 72B Instruct support?
Qwen2.5 VL 72B Instruct accepts text, image input and produces text output. Its knowledge cutoff is Jun 30, 2024.

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