NOUMENOpen app
NOUMEN

Qwen · Open weights

Qwen 3 32b

Added Jan 1, 2024Open weights

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

Use in the app

Qwen 3 32b is a 32b model. Supports switching between thinking and non thinking: trigger thinking with /think and /no_think anywhere in a prompt or system message to toggle chain-of-thought reasoning.

  • Tools
  • PDF input
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.08
Output
$0.24

Reference prices as published by the model provider. API example

Specifications

Context window
41K
Max output
32.8K
Average output (7 days)
646 tokens
Longer than 58% of 468 models

Side by side

Compare models

Put Qwen 3 32b next to up to three other models. The comparison stays in the link, so you can share it.

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

TryNvidia Nemotron Super 49BHermes 4 LargeGLM 4.5V ThinkingAll 3

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

7.3

Better than 10% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    19.7

    Composite of the math evaluations

    Better than 20% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    0.0%

    Reasoning across long documents

    Better than 0% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    4.1%

    Expert-level questions across academic fields

    Better than 7% of 323 scored models

  • GPQA Diamond

    53.5%

    Graduate-level science questions

    Better than 11% of 291 scored models

  • MMLU-Pro

    72.7%

    Multi-subject knowledge and reasoning

    Better than 28% of 132 scored models

  • IFBench

    31.5%

    Following precise output instructions

    Better than 6% of 215 scored models

Coding

  • LiveCodeBench

    28.8%

    Recent competitive programming problems

    Better than 16% of 129 scored models

Math

  • AIME 2025

    19.7%

    Competition mathematics, 2025 problems

    Better than 20% of 118 scored models

  • AIME

    30.3%

    Competition mathematics

    Better than 43% of 72 scored models

  • MATH-500

    86.9%

    Competition math problems

    Better than 39% of 73 scored models

Legacy evaluations

  • AA-LCR (unversioned)

    0.0%

    Long-context reasoning, earlier grading

    Better than 0% 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
29.1 tok/s
Faster than 18% of 261 models
Time to first token
3.0 s
Quicker than 59% of 261 models
Prompt cache hits
0.0%
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 92.8%
  • 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/qwen3-32b",
    "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/qwen3-32b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.