Qwen3-30B-A3B is Alibaba's efficient MoE model released in April 2025, with 30.5 billion total parameters and only 3.3 billion activated per token through 128 experts (8 selected). This sparse design delivers low inference cost while keeping broad capability across reasoning, coding, and general tasks. The model supports switching between a step-by-step reasoning mode for complex problems and direct generation for straightforward queries within a single architecture. Native context covers around 40K tokens, extending to 131K via YaRN, and it handles mathematical reasoning, code generation, and instruction following across 100+ languages, drawing on roughly 36 trillion tokens of pretraining data. Both thinking and non-thinking modes let users match computational depth to task complexity. MoE sparse activation means the inference cost reflects only a fraction of the full 30.5 billion parameters. Open-weight under Apache 2.0.
Qwen3 30B A3B runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| US | Zero data retention | No | $0.12 | $0.50 |
Qwen3 30B A3B 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 30B A3B 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 β no action required. No training on customer data. US; unknown; deposit available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call Qwen3 30B A3B through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β 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/Qwen3-30B-A3B",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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