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QvQ-72B-Preview vs Qwen3 Max

Qwen3 Max leads the LLM Stats Score 21.7 to 8.0.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 Max leads the overall LLM Stats Score 21.7 to 8.0, ranking #177 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose QvQ-72B-Preview

  • you need open weights you can self-host or fine-tune

Choose Qwen3 Max

  • overall performance matters — it scores 21.7 and ranks #177 on LLM Stats
  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

Core performance indexes
8.0
#271
21.7
#177
8.3
#264
21.9
#166
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.50 / M
Output price
— / M
$5.00 / M
Context window
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
QvQ-72B-Preview
Qwen3 Max
9.8#245
22.2#135
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for QvQ-72B-Preview · 6 for Qwen3 Max

No common benchmarks found

QvQ-72B-Preview and Qwen3 Maxdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

926.6B diff

Qwen3 Max has 926.6B more parameters than QvQ-72B-Preview, making it 1262.4% larger.

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1.0Tparameters
73.4B
QvQ-72B-Preview
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Only Qwen3 Max specifies input context (256,000 tokens). Only Qwen3 Max specifies output context (131,072 tokens).

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

QvQ-72B-Preview supports multimodal inputs, whereas Qwen3 Max does not.

QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

QvQ-72B-Preview

Text
Images
Audio
Video

Qwen3 Max

Text
Images
Audio
Video

License

Usage and distribution terms

QvQ-72B-Preview is licensed under Qwen, while Qwen3 Max uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

QvQ-72B-Preview

Qwen

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

QvQ-72B-Preview was released on 2024-12-25, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 12 months newer than QvQ-72B-Preview.

QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

Qwen3 Max

Dec 15, 2025

8 months ago

11mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against QvQ-72B-Preview and Qwen3 Max side-by-side, then vote on the output you prefer.

QvQ-72B-Preview
✓ Preferred
Qwen3 Max
Open in Playground

FAQ

Common questions about QvQ-72B-Preview vs Qwen3 Max.

Which is better, QvQ-72B-Preview or Qwen3 Max?

Qwen3 Max leads the LLM Stats Score 21.7 to 8.0. QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team and Qwen3 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does QvQ-72B-Preview compare to Qwen3 Max in benchmarks?

QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

What are the context window sizes for QvQ-72B-Preview and Qwen3 Max?

QvQ-72B-Preview supports an unknown number of tokens and Qwen3 Max supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between QvQ-72B-Preview and Qwen3 Max?

Key differences include LLM Stats Score (8.0 vs 21.7), multimodal support (yes vs no), licensing (Qwen vs Proprietary). See the full comparison above for benchmark-by-benchmark results.