Qwen3 Coder 480B A35B Instruct Turbo is a throughput-optimized variant of Qwen3 Coder 480B, keeping the 480B total and 35B active parameter MoE design with a 262K native context window. The Turbo configuration targets higher tokens-per-second and lower latency for production code-generation serving. It shares the base model's instruction tuning and tool-use behavior, making it suitable for high-volume code completion, batch refactoring, and iterative debugging agents. Open-weight under the Apache 2.0 license, the model is widely served with multiple quantization formats including NVFP4, FP8, and BF16 across inference platforms.
Qwen3 Coder 480B A35B Instruct Turbo runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance — full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| US | Zero data retention | No | $0.30 | $1.00 |
Qwen3 Coder 480B A35B Instruct Turbo runs on a single route through the qynio gateway today, so its availability is that provider's availability.
Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.
Each route hosting Qwen3 Coder 480B A35B Instruct Turbo has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; unknown; deposit available.
Call Qwen3 Coder 480B A35B Instruct Turbo through the qynio gateway with one API key. Let your coding agent set it up, or call it directly — qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "deepinfra/Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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