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Qwen: QvQ Max

Added Mar 28, 2025Open weights

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Use in the app

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.

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Qwen: QvQ MaxQwenThis modelGLM 5V Turbo ThinkingZ.aiRemove
ProviderQwenZ.ai
Discovery tierOpen weightsOpen weights
AddedMar 28, 2025Apr 2, 2026
Limits
Context window128K202.8KBest
Max output8.19K131.07KBest
Average output—942 tokens
Pricing, USD per 1M tokens
Input$1.20$1.20
Output$4.80$4.00Best
Cache read—$0.24
Performance
Throughput—42.5 tok/s
Time to first token—6.0 s
Request success (24h)—97.6%
Benchmark indexes
Intelligence Index—23.5
Capabilities
ReasoningNoYes
ToolsNoYes
VisionYesYes
Structured outputNoYes
Video inputNoYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Qwen: QvQ Max
  • GLM 5V Turbo Thinking

Intelligence Index

  • Qwen: QvQ Max—
  • GLM 5V Turbo Thinking23.5
3.8Catalog models by score55.1

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen: QvQ Max: —
    • GLM 5V Turbo Thinking: 70.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen: QvQ Max: —
    • GLM 5V Turbo Thinking: 17.1%
  • GPQA Diamond

    Graduate-level science questions

    • Qwen: QvQ Max: —
    • GLM 5V Turbo Thinking: 80.9%
  • IFBench

    Following precise output instructions

    • Qwen: QvQ Max: —
    • GLM 5V Turbo Thinking: 61.1%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Qwen: QvQ Max: —
    • GLM 5V Turbo Thinking: 32.6%
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Qwen: QvQ Max: —
    • GLM 5V Turbo Thinking: 98.5%
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen: QvQ Max: —
    • GLM 5V Turbo Thinking: 70.3%

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": "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.