Qwen · Open weights
Qwen3 Coder 30B A3B Instruct
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.
| Qwen3 Coder 30B A3B InstructQwenThis model | Qwen 3.8 27B FimiQwenRemove | |
|---|---|---|
| Provider | Qwen | Qwen |
| Discovery tier | Open weights | Open weights |
| Added | Aug 5, 2025 | Oct 5, 2026 |
| Limits | ||
| Context window | 128K | 262.14KBest |
| Max output | 65.54KBest | 32.77K |
| Average output | — | 290 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.10 | $0.10 |
| Output | $0.40Best | $0.60 |
| Cache read | — | $0.05 |
| Performance | ||
| Request success (24h) | 100.0% | 100.0% |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | Yes | Yes |
| Vision | No | Yes |
| 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.
- Request success (24h)
- 100.0%
- Reliable
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.
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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