Qwen · Open weights
Qwen 3 Coder 480B
Qwen 3 Coder 480B, a 480 billion total parameter model with 35B active, and 160 total experts with 8 active. Performs similar to Claude 4 Sonnet in coding benchmarks, but does so at a much lower price.
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.13
- Output
- $0.50
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262K
- Max output
- 65.5K
- Average output (7 days)
- 315 tokens
- Longer than 33% of 465 models
Side by side
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Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
11.9
Better than 26% of 326 scored models
Indexes
Math Index
39.3Composite of the math evaluations
Better than 39% of 118 scored models
Document reasoning
AA-LCRv1.1
45.7%Reasoning across long documents
Better than 23% of 309 scored models
Reasoning and knowledge
Humanity’s Last Exam
4.5%Expert-level questions across academic fields
Better than 12% of 323 scored models
GPQA Diamond
61.8%Graduate-level science questions
Better than 19% of 291 scored models
MMLU-Pro
78.8%Multi-subject knowledge and reasoning
Better than 43% of 132 scored models
IFBench
40.5%Following precise output instructions
Better than 28% of 215 scored models
Coding
LiveCodeBench
58.5%Recent competitive programming problems
Better than 55% of 129 scored models
Math
AIME 2025
39.3%Competition mathematics, 2025 problems
Better than 39% of 118 scored models
AIME
47.7%Competition mathematics
Better than 52% of 72 scored models
MATH-500
94.2%Competition math problems
Better than 63% of 73 scored models
Legacy evaluations
Terminal-Bench Hard
18.9%Earlier terminal task suite
Better than 37% of 212 scored models
τ²-Bench Telecom
43.6%Tool use in a customer-support simulation
Better than 35% of 214 scored models
AA-LCR (unversioned)
45.7%Long-context reasoning, earlier grading
Better than 23% of 309 scored models
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.
- Throughput
- 70.7 tok/s
- Faster than 48% of 251 models
- Time to first token
- 1.0 s
- Quicker than 96% of 251 models
- Prompt cache hits
- 35.2%
- Request success (24h)
- 95.1%
- 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.
- 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",
"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",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Qwen
Related models
Other Qwen models, starting with the same family.