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Qwen · Frontier

Qwen3.7 Max Thinking

Added May 21, 2026

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Use in the app

Qwen3.7 Max with thinking mode enabled for deeper reasoning, coding, and long-running tool workflows.

  • 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 Thinking compared

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

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Qwen3.7 Max ThinkingQwenThis modelMuse Spark OpenMetaRemove
ProviderQwenMeta
Discovery tierFrontierFrontier
AddedMay 21, 2026Oct 15, 2026
Limits
Context window1M1.05MBest
Max output65.54K—
Average output—1.3K tokens
Pricing, USD per 1M tokens
Input$1.47$1.25Best
Output$4.43$4.25Best
Cache read$0.30$0.15Best
Cache write$1.84—
Benchmark indexes
Intelligence Index—38.9
Capabilities
ReasoningYesYes
ToolsYesYes
VisionNoYes
Structured outputNoYes
Reasoning effortnone, highlow, medium, high, xhigh

Public evaluations

Benchmarks

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

  • Qwen3.7 Max Thinking
  • Muse Spark Open

Intelligence Index

  • Qwen3.7 Max Thinking—
  • Muse Spark Open38.9
3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 49.7%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 20.9%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 1,279 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 1,401 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 18.6%

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 78.3%

  • MLCR-AA

    Long-context reasoning over medical records

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 7.8%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 43.9%

  • GPQA Diamond

    Graduate-level science questions

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 89.0%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 8.1%

  • SciCode

    Scientific computing in Python

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 58.4%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen3.7 Max Thinking: —
    • Muse Spark Open: 78.3%

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/qwen3.7-max:thinking",
    "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:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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