Qwen · Open weights

Qwen: QvQ Max

Added Mar 28, 2025Open weights

QvQ Max is the top model of the Qwen series. QvQ Max is capable of thinking and reasoning, can achieve significantly enhanced performance especially on hard problems.

Vision

Input: Text, Images
Output: Text
Discovery tier: Open weights

Pricing

USD per 1M tokens

Input: $1.20
Output: $4.80

Reference prices as published by the model provider. API example

Specifications

Context window: 128K
Max output: 8.2K

Side by side

Qwen: QvQ Max compared

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

Limits
	Qwen: QvQ MaxQwenThis model	DeepSeek R1 Qwen AbliteratedDeepSeekRemove
Provider	Qwen	DeepSeek
Discovery tier	Open weights	Open weights
Added	Mar 28, 2025	Jan 1, 2024
Context window	128KBest	16.38K
Max output	8.19K	8.19K
Average output	—	200 tokens
Pricing, USD per 1M tokens
Input	$1.20Best	$1.40
Output	$4.80	$1.40Best
Performance
Throughput	—	15.6 tok/s
Time to first token	—	12.4 s
Request success (24h)	—	57.9%
Capabilities
Reasoning	No	Yes
Vision	Yes	No
Reasoning effort	—	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

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

Qwen

Other Qwen models, starting with the same family.