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Qwen · Frontier

Qwen3.7 Max

Added May 21, 2026

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Use in the app

Qwen3.7 Max is built for agentic coding, office automation, and long-running tool workflows in non-thinking mode.

  • Reasoning
  • Tools
Input
Text
Output
Text
Reasoning effort
none · high
Discovery tier
Frontier

Pricing

USD per 1M tokens
Input
$1.47
Output
$4.43
Cache read
$0.30
Cache write
$1.84

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
65.5K

Side by side

Qwen3.7 Max compared

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

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Qwen3.7 MaxQwenThis modelGPT 5.1OpenAIRemove
ProviderQwenOpenAI
Discovery tierFrontierFrontier
AddedMay 21, 2026Nov 13, 2025
Limits
Context window1MBest400K
Max output65.54K128KBest
Average output—294 tokens
Pricing, USD per 1M tokens
Input$1.47$1.25Best
Output$4.43Best$10.00
Cache read$0.30$0.13Best
Cache write$1.84—
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index—13.3
Math Index—38.0
Capabilities
ReasoningYesYes
ToolsYesYes
VisionNoYes
Structured outputNoYes
PDF inputNoYes
Reasoning effortnone, highnone, low, medium, high

Public evaluations

Benchmarks

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

  • Qwen3.7 Max
  • GPT 5.1

Intelligence Index

  • Qwen3.7 Max—
  • GPT 5.113.3
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Qwen3.7 Max: —
    • GPT 5.1: 38.0

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen3.7 Max: —
    • GPT 5.1: 45.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen3.7 Max: —
    • GPT 5.1: 5.3%

  • GPQA Diamond

    Graduate-level science questions

    • Qwen3.7 Max: —
    • GPT 5.1: 64.3%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Qwen3.7 Max: —
    • GPT 5.1: 80.1%

  • IFBench

    Following precise output instructions

    • Qwen3.7 Max: —
    • GPT 5.1: 43.2%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Qwen3.7 Max: —
    • GPT 5.1: 49.4%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Qwen3.7 Max: —
    • GPT 5.1: 38.0%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Qwen3.7 Max: —
    • GPT 5.1: 22.7%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Qwen3.7 Max: —
    • GPT 5.1: 46.5%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen3.7 Max: —
    • GPT 5.1: 45.0%

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.

Prompt cache hits
33.0%
About $1.09 per 1M input tokens with caching

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.

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/qwen3.7-max",
    "reasoning_effort": "none",
    "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/qwen3.7-max",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.