Qwen2.5 VL 72B Instruct
by QwenReleased Feb 1, 2025
qwen/qwen2.5-vl-72b-instruct- Reads images
- Answers in a JSON schema
- Caches long prompts
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.
- Input / 1M tokens
- $0.96
- Output / 1M tokens
- $1.20
- Context
- 128K
- Longest answer
- 115K
What it costs
What each call is charged to the token's AI credit.
| Billed for | You pay |
|---|---|
| Input tokens | $0.96 / 1M |
| Output tokens | $1.20 / 1M |
| Cached input, read | $0.48 / 1M |
A typical call
A short chat turn: 2,000 tokens in, 500 out.
- per call
- $0.0025
- calls per $20
- 7,936
What it can do
From its listing. The router passes every field through.
- Reads imagesYes
- Reads files and PDFsNo
- Hears audioNo
- Calls toolsNo
- Answers in a JSON schemaYes
- Reasons before it answersNo
- Searches the webNo
- Caches long promptsYes
- Draws imagesNo
Call it
Any router key works, in the format your SDK already speaks.
import OpenAI from "openai";const ai = new OpenAI({ baseURL: "https://relayfor.si/api/v1", apiKey: process.env.RELAYFOR_ROUTER_KEY,});const reply = await ai.chat.completions.create({ model: "qwen/qwen2.5-vl-72b-instruct", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});Specifications
What its maker and providers list for it.
- Reads
- Text and Images
- Writes
- Text
- Context
- 128,000 tokens
- Longest answer
- 115,200 tokens
- Knowledge cutoff
- Jun 30, 2024
- Released
- Feb 1, 2025
- Moderation
- None
Request fields
The fields its providers accept, passed through as you send them.
- frequency_penalty
- logit_bias
- logprobs
- max_tokens
- presence_penalty
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- top_k
- top_logprobs
- top_p
Questions
How much does Qwen2.5 VL 72B Instruct cost?
$0.96 per million input tokens and $1.20 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0025.
How do I call Qwen2.5 VL 72B Instruct?
Make a router key for one of your tokens on the dashboard, point any OpenAI or Anthropic SDK at https://relayfor.si/api/v1 and send the model id qwen/qwen2.5-vl-72b-instruct. The token's AI credit pays for each call.
How long a prompt can Qwen2.5 VL 72B Instruct take?
Up to 128,000 tokens of context, and up to 115,200 tokens in one answer.
Are my prompts stored?
No. The RFS Router passes each call through and keeps only its token counts and cost, for the token's usage page.
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