Qwen3-Coder-30B-A3B

Qwen3-Coder-30B-A3B is listed on the current BatchIn Model API surface.

Model detailAvailableMoE Transformer

Params

30B / 3B active

Context

256K

Max Output

32K

License

Apache 2.0

API Surface

/v1/chat/completions

Access

Available

Why pick it

Availability is synced from the live service catalog.
Pricing appears only when verified by the live service catalog.

Pricing

TierPublicCachedNote

Realtime$0.13 / $0.18$0.044Current published price

Batch$0.13 / $0.18$0.044Published batch rates appear here when available

Pricing is synced from the live BatchIn catalog.

Quick start

Works with common OpenAI-style integrations. Point your client to the BatchIn base URL and start testing.

Try now Open pricing

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.batchin.tech/v1",
    api_key="BATCHIN_API_KEY"
)

resp = client.chat.completions.create(
    model="qwen3-coder-30b-a3b",
    messages=[{"role": "user", "content": "Summarize why this model is a fit for my workload"}]
)

print(resp.choices[0].message.content)

JavaScript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.batchin.tech/v1",
  apiKey: process.env.BATCHIN_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "qwen3-coder-30b-a3b",
  messages: [{ role: "user", content: "Summarize why this model is a fit for my workload" }],
});

console.log(resp.choices[0]?.message?.content);

cURL

curl https://api.batchin.tech/v1/chat/completions \
  -H "Authorization: Bearer ***" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3-coder-30b-a3b",
    "messages": [{"role":"user","content":"Summarize why this model is a fit for my workload"}]
  }'

Specs

Architecture

MoE Transformer

Vendor

Qwen / Alibaba

Context window

256K

Max output

32K

Best for

qwen

coder