Qwen · Open weights

Qwen3 Coder 30B A3B Instruct

Added Aug 5, 2025Open weights

Use in the app

Qwen3 Coder 30B with 3B active parameters, optimized for code generation and technical tasks

Tools
Structured output

Input: Text
Output: Text
Discovery tier: Open weights

Pricing

USD per 1M tokens

Input: $0.10
Output: $0.40

Reference prices as published by the model provider. API example

Specifications

Context window: 128K
Max output: 65.5K

Side by side

Qwen3 Coder 30B A3B Instruct compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Limits
	Qwen3 Coder 30B A3B InstructQwenThis model	Qwen 2.5 Coder 32bQwenRemove
Provider	Qwen	Qwen
Discovery tier	Open weights	Open weights
Added	Aug 5, 2025	Jul 3, 2025
Context window	128KBest	32K
Max output	65.54KBest	8.19K
Pricing, USD per 1M tokens
Input	$0.10Best	$0.20
Output	$0.40	$0.20Best
Performance
Request success (24h)	100.0%	—
Capabilities
Tools	Yes	No
Structured output	Yes	No
Reasoning effort	—	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits: 49.1%
Request success (24h): 100.0%; Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 88.8%

Healthy (98% or more)
Degraded (90–98%)
Down (under 90%)
No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-coder-30b-a3b-instruct",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="qwen/qwen3-coder-30b-a3b-instruct",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

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