Qwen · Open weights
Qwen2.5 72B
Great multilingual support, strong at mathematics and coding, supports roleplay and chatbots.
- Tools
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.36
- Output
- $0.40
Reference prices as published by the model provider. API example
Specifications
- Context window
- 131.1K
- Max output
- 8.2K
- Average output (7 days)
- 166 tokens
- Longer than 16% 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
7.7
Better than 11% of 326 scored models
Indexes
Math Index
14.0Composite of the math evaluations
Better than 14% of 118 scored models
Reasoning and knowledge
Humanity’s Last Exam
3.6%Expert-level questions across academic fields
Better than 2% of 323 scored models
GPQA Diamond
49.1%Graduate-level science questions
Better than 8% of 291 scored models
MMLU-Pro
72.0%Multi-subject knowledge and reasoning
Better than 25% of 132 scored models
IFBench
36.9%Following precise output instructions
Better than 19% of 215 scored models
Coding
LiveCodeBench
27.6%Recent competitive programming problems
Better than 13% of 129 scored models
Math
AIME 2025
14.0%Competition mathematics, 2025 problems
Better than 14% of 118 scored models
AIME
16.0%Competition mathematics
Better than 26% of 72 scored models
MATH-500
85.8%Competition math problems
Better than 36% of 73 scored models
Legacy evaluations
Terminal-Bench Hard
4.5%Earlier terminal task suite
Better than 10% of 212 scored models
τ²-Bench Telecom
34.5%Tool use in a customer-support simulation
Better than 27% of 214 scored models
Scores from Artificial Analysis, updated Oct 26, 2026.
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/qwen-2.5-72b-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/qwen-2.5-72b-instruct",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Qwen
Related models
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