Qwen3 Max Thinking
by QwenReleased Feb 9, 2026
qwen/qwen3-max-thinking- Calls tools
- Answers in a JSON schema
- Reasons before it answers
Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...
- Input / 1M tokens
- $0.94
- Output / 1M tokens
- $4.68
- Context
- 262K
- Longest answer
- 66K
What it costs
What each call is charged to the token's AI credit.
| Billed for | You pay |
|---|---|
| Input tokens | $0.94 / 1M |
| Output tokens | $4.68 / 1M |
| Prompts over 32,000 tokens | $1.87 in, $9.36 out |
| Prompts over 128,000 tokens | $2.34 in, $11.70 out |
A typical call
A short chat turn: 2,000 tokens in, 500 out.
- per call
- $0.0042
- calls per $20
- 4,748
What it can do
From its listing. The router passes every field through.
- Reads imagesNo
- 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-max-thinking", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});Specifications
What its maker and providers list for it.
- Reads
- Text
- Writes
- Text
- Context
- 262,144 tokens
- Longest answer
- 65,536 tokens
- Intelligence index
- 21.3 (#92 of 220 rated)
- Released
- Feb 9, 2026
- 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 Max Thinking cost?
$0.94 per million input tokens and $4.68 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0042.
How do I call Qwen3 Max 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-max-thinking. The token's AI credit pays for each call.
How long a prompt can Qwen3 Max Thinking take?
Up to 262,144 tokens of context, and up to 65,536 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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