Qwen · Frontier

Qwen3.7 Max

Added May 21, 2026

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.

Limits
	Qwen3.7 MaxQwenThis model	Qwen3.6 Max PreviewQwenRemove
Provider	Qwen	Qwen
Discovery tier	Frontier	Balanced
Added	May 21, 2026	Apr 20, 2026
Context window	1MBest	245.76K
Max output	65.54K	65.54K
Pricing, USD per 1M tokens
Input	$1.47	$1.04Best
Output	$4.43Best	$6.24
Cache read	$0.30	—
Cache write	$1.84	—
Capabilities
Reasoning	Yes	No
Tools	Yes	No
Reasoning effort	none, high	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

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.