Qwen3 VL 8B Thinking
by QwenReleased Oct 14, 2025
qwen/qwen3-vl-8b-thinking- Reads images
- Calls tools
- Answers in a JSON schema
- Reasons before it answers
Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...
- Input / 1M tokens
- $0.22
- Output / 1M tokens
- $2.52
- Context
- 131K
- Longest answer
- 33K
What it costs
What each call is charged to the token's AI credit.
| Billed for | You pay |
|---|---|
| Input tokens | $0.22 / 1M |
| Output tokens | $2.52 / 1M |
A typical call
A short chat turn: 2,000 tokens in, 500 out.
- per call
- $0.0017
- calls per $20
- 12K
What it can do
From its listing. The router passes every field through.
- Reads imagesYes
- Reads files and PDFsNo
- Hears audioNo
- Calls toolsYes
- Answers in a JSON schemaYes
- Reasons before it answersYes
- Searches the webNo
- Caches long promptsNo
- 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/qwen3-vl-8b-thinking", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});Specifications
What its maker and providers list for it.
- Reads
- Images and Text
- Writes
- Text
- Context
- 131,072 tokens
- Longest answer
- 32,768 tokens
- Intelligence index
- 8.2 (#175 of 220 rated)
- Released
- Oct 14, 2025
- Retires
- Oct 9, 2026
- Moderation
- None
Request fields
The fields its providers accept, passed through as you send them.
- frequency_penalty
- include_reasoning
- logprobs
- max_tokens
- presence_penalty
- reasoning
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Questions
How much does Qwen3 VL 8B Thinking cost?
$0.22 per million input tokens and $2.52 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0017.
How do I call Qwen3 VL 8B Thinking?
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/qwen3-vl-8b-thinking. The token's AI credit pays for each call.
How long a prompt can Qwen3 VL 8B Thinking take?
Up to 131,072 tokens of context, and up to 32,768 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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