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Qwen · Balanced

Qwen3 Max

Added Sep 5, 2025

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Use in the app

Qwen3 Max improves accuracy in coding and science, instruction following, and tool calling.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$1.20
Output
$6.00

Reference prices as published by the model provider. API example

Specifications

Context window
256K
Max output
32.8K

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

15.6

Better than 39% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    80.7

    Composite of the math evaluations

    Better than 72% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    50.0%

    Reasoning across long documents

    Better than 29% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    11.9%

    Expert-level questions across academic fields

    Better than 37% of 323 scored models

  • GPQA Diamond

    76.4%

    Graduate-level science questions

    Better than 38% of 291 scored models

  • MMLU-Pro

    84.1%

    Multi-subject knowledge and reasoning

    Better than 82% of 132 scored models

  • IFBench

    44.1%

    Following precise output instructions

    Better than 40% of 215 scored models

Coding

  • LiveCodeBench

    76.7%

    Recent competitive programming problems

    Better than 76% of 129 scored models

Math

  • AIME 2025

    80.7%

    Competition mathematics, 2025 problems

    Better than 72% of 118 scored models

Legacy evaluations

  • Terminal-Bench Hard

    20.5%

    Earlier terminal task suite

    Better than 39% of 212 scored models

  • τ²-Bench Telecom

    74.3%

    Tool use in a customer-support simulation

    Better than 56% of 214 scored models

  • AA-LCR (unversioned)

    50.0%

    Long-context reasoning, earlier grading

    Better than 29% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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-max",
    "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-max",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.