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.
- 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 tokens | Provider | + 3% fee | You 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.
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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