ReadyGPU TEE

Qwen3 30B A3B Instruct 2507

Model IDqwen/qwen3-30b-a3b-instruct-2507

Qwen3-30B-A3B-Instruct-2507 is a mixture-of-experts (MoE) causal language model featuring 30.5 billion total parameters and 3.3 billion activated parameters per inference. It supports ultra-long context up to 262 K tokens and operates exclusively in non-thinking mode, delivering strong enhancements in instruction following, reasoning, logical comprehension, mathematics, coding, multilingual understanding, and alignment with user preferences.

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input

$0.15/M

output

$0.55/M

context

262K

created

Nov 28, 2025

Supported API shape

input

text

output

text

tools

Supported

json mode

Supported

Verification

signature

response ID

attestation

GPU TEE

provider

1 routes

Providers

near-ai

GPU TEE

input

$0.15/M

output

$0.55/M

context

262K

$ pip install openai

1from openai import OpenAI
2import os
3
4MODEL = "qwen/qwen3-30b-a3b-instruct-2507"
5
6client = OpenAI(
7    base_url="https://api.redpill.ai/v1",
8    api_key=os.environ["REDPILL_API_KEY"],
9)
10
11response = client.chat.completions.create(
12    model=MODEL,
13    messages=[{"role": "user", "content": "Run this privately."}],
14)
15
16print(response.id)
17print(response.choices[0].message.content)

$ npm install openai

1import OpenAI from "openai"
2
3const MODEL = "qwen/qwen3-30b-a3b-instruct-2507"
4
5const openai = new OpenAI({
6  baseURL: "https://api.redpill.ai/v1",
7  apiKey: process.env.REDPILL_API_KEY,
8})
9
10const response = await openai.chat.completions.create({
11  model: MODEL,
12  messages: [{ role: "user", content: "Run this privately." }],
13})
14
15console.log(response.id)
16console.log(response.choices[0].message.content)

1curl https://api.redpill.ai/v1/chat/completions \
2  -H "Authorization: Bearer $REDPILL_API_KEY" \
3  -H "Content-Type: application/json" \
4  -d '{
5    "model": "qwen/qwen3-30b-a3b-instruct-2507",
6    "messages": [
7      { "role": "user", "content": "Run this privately." }
8    ]
9  }'

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