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QvQ-72B-Preview vs Qwen3.8 Max

Qwen3.8 Max leads the LLM Stats Score 51.9 to 7.9.

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

Which is better?

Qwen3.8 Max leads the overall LLM Stats Score 51.9 to 7.9, ranking #11 overall.

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

Choose QvQ-72B-Preview

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Choose Qwen3.8 Max

  • overall performance matters — it scores 51.9 and ranks #11 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Core performance indexes
7.9
#281
51.9
#11
8.2
#274
50.6
#11
Cost, coverage & limits
Benchmark wins
Input price
— / M
$1.65 / M
Output price
— / M
$4.95 / M
Context window
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
QvQ-72B-Preview
Qwen3.8 Max
9.6#253
33.8#52
6.3#147
37.7#5
9.6#118
39.4#1
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for QvQ-72B-Preview · 42 for Qwen3.8 Max

No common benchmarks found

QvQ-72B-Preview and Qwen3.8 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

2326.6B diff

Qwen3.8 Max has 2326.6B more parameters than QvQ-72B-Preview, making it 3169.8% larger.

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
73.4B
QvQ-72B-Preview
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

Only Qwen3.8 Max specifies input context (256,000 tokens). Only Qwen3.8 Max specifies output context (256,000 tokens).

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input256,000 tokens
Output256,000 tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both QvQ-72B-Preview and Qwen3.8 Max support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

QvQ-72B-Preview

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

QvQ-72B-Preview is licensed under Qwen, while Qwen3.8 Max uses Qwen3.8-Max License.

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

QvQ-72B-Preview

Qwen

Open weights

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

QvQ-72B-Preview was released on 2024-12-25, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 20 months newer than QvQ-72B-Preview.

QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

Qwen3.8 Max

Aug 2, 2026

1 months ago

1.6yr 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 Qwen3.8 Max side-by-side, then vote on the output you prefer.

QvQ-72B-Preview
✓ Preferred
Qwen3.8 Max
Open in Playground

FAQ

Common questions about QvQ-72B-Preview vs Qwen3.8 Max.

Which is better, QvQ-72B-Preview or Qwen3.8 Max?

Qwen3.8 Max leads the LLM Stats Score 51.9 to 7.9. QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team and Qwen3.8 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 Qwen3.8 Max in benchmarks?

QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

What are the context window sizes for QvQ-72B-Preview and Qwen3.8 Max?

QvQ-72B-Preview supports an unknown number of tokens and Qwen3.8 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 Qwen3.8 Max?

Key differences include LLM Stats Score (7.9 vs 51.9), licensing (Qwen vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.