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Qwen · Balanced

Qwen 2.5 Max

Added Oct 1, 2024

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Use in the app

Qwen 2.5 Max is the upgraded version of Qwen Max, beating GPT-4o, Deepseek V3 and Claude 3.5 Sonnet in benchmarks.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$1.60
Output
$6.39

Reference prices as published by the model provider. API example

Specifications

Context window
32K
Max output
8.2K

Side by side

Qwen 2.5 Max compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Qwen 2.5 MaxQwenThis modelOpenAI o3OpenAIRemove
ProviderQwenOpenAI
Discovery tierBalancedBalanced
AddedOct 1, 2024Apr 16, 2025
Limits
Context window32K200KBest
Max output8.19K100KBest
Average output—205 tokens
Pricing, USD per 1M tokens
Input$1.60Best$2.00
Output$6.39Best$8.00
Cache read—$1.00
Benchmark indexes
Intelligence Index—20.2
Math Index—88.3
Capabilities
ReasoningNoYes
Reasoning effort—low, medium, high

Public evaluations

Benchmarks

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

  • Qwen 2.5 Max
  • OpenAI o3

Intelligence Index

  • Qwen 2.5 Max—
  • OpenAI o320.2
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Qwen 2.5 Max: —
    • OpenAI o3: 88.3

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen 2.5 Max: —
    • OpenAI o3: 74.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen 2.5 Max: —
    • OpenAI o3: 20.1%

  • GPQA Diamond

    Graduate-level science questions

    • Qwen 2.5 Max: —
    • OpenAI o3: 82.7%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Qwen 2.5 Max: —
    • OpenAI o3: 85.3%

  • IFBench

    Following precise output instructions

    • Qwen 2.5 Max: —
    • OpenAI o3: 71.4%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Qwen 2.5 Max: —
    • OpenAI o3: 80.8%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Qwen 2.5 Max: —
    • OpenAI o3: 88.3%

  • AIME

    Competition mathematics

    • Qwen 2.5 Max: —
    • OpenAI o3: 90.3%

  • MATH-500

    Competition math problems

    • Qwen 2.5 Max: —
    • OpenAI o3: 99.2%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Qwen 2.5 Max: —
    • OpenAI o3: 37.1%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Qwen 2.5 Max: —
    • OpenAI o3: 80.7%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen 2.5 Max: —
    • OpenAI o3: 74.7%

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

Qwen

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