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 | LFM2.5 2.6BliquidRemove | |
|---|---|---|
| Provider | Qwen | liquid |
| Discovery tier | Open weights | Open weights |
| Added | Aug 5, 2025 | Aug 12, 2026 |
| Limits | ||
| Context window | 128K | 128K |
| Max output | 65.54KBest | 32.77K |
| Average output | — | 459 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.10 | $0.10 |
| Output | $0.40 | $0.20Best |
| Performance | ||
| Request success (24h) | 100.0% | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | — | 8.4 |
| Coding Index | — | 7.7 |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | Yes | Yes |
| Structured output | Yes | Yes |
| Reasoning effort | — | minimal, low, medium, high, xhigh |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Qwen3 Coder 30B A3B Instruct
- LFM2.5 2.6B
Intelligence Index
- Qwen3 Coder 30B A3B Instruct—
- LFM2.5 2.6B8.4
Indexes
Coding Index
Composite of the coding evaluations
- Qwen3 Coder 30B A3B Instruct: —
- LFM2.5 2.6B: 7.7
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Qwen3 Coder 30B A3B Instruct: —
- LFM2.5 2.6B: 5.7%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Qwen3 Coder 30B A3B Instruct: —
- LFM2.5 2.6B: 6.2%
GPQA Diamond
Graduate-level science questions
- Qwen3 Coder 30B A3B Instruct: —
- LFM2.5 2.6B: 55.8%
Coding
SciCode
Scientific computing in Python
- Qwen3 Coder 30B A3B Instruct: —
- LFM2.5 2.6B: 14.4%
Legacy evaluations
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Qwen3 Coder 30B A3B Instruct: —
- LFM2.5 2.6B: 5.7%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
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
- 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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