Qwen3 Coder Next
by QwenReleased Feb 4, 2026
qwen/qwen3-coder-next- Calls tools
- Answers in a JSON schema
- Caches long prompts
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...
- Input / 1M tokens
- $0.14
- Output / 1M tokens
- $0.96
- Context
- 262K
- Longest answer
- 236K
What it costs
What each call is charged to the token's AI credit.
| Billed for | You pay |
|---|---|
| Input tokens | $0.14 / 1M |
| Output tokens | $0.96 / 1M |
| Cached input, read | $0.084 / 1M |
A typical call
A short chat turn: 2,000 tokens in, 500 out.
- per call
- $0.0008
- calls per $20
- 26K
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 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/qwen3-coder-next", 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
- 235,929 tokens
- Intelligence index
- 9.2 (#167 of 220 rated)
- Released
- Feb 4, 2026
- 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
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Questions
How much does Qwen3 Coder Next cost?
$0.14 per million input tokens and $0.96 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0008.
How do I call Qwen3 Coder Next?
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-coder-next. The token's AI credit pays for each call.
How long a prompt can Qwen3 Coder Next take?
Up to 262,144 tokens of context, and up to 235,929 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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