The AI arena is free today

Open Superagent

QvQ-72B-Preview vs Qwen3 VL 235B A22B Thinking

Qwen3 VL 235B A22B Thinking leads the LLM Stats Score 26.8 to 8.0.

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

Which is better?

Qwen3 VL 235B A22B Thinking leads the overall LLM Stats Score 26.8 to 8.0, ranking #139 overall.

In the 1 individual benchmarks reported for both models, Qwen3 VL 235B A22B Thinking wins 1; this is a narrower head-to-head signal than the composite indexes.

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 VL 235B A22B Thinking

  • overall performance matters — it scores 26.8 and ranks #139 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
8.0
#271
26.8
#139
Reasoning
8.3
#264
27.1
#131
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.45 / M
Output price
— / M
$3.49 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
QvQ-72B-Preview
Qwen3 VL 235B A22B Thinking
Math
9.8#245
29.8#78
Vision
6.8#141
18.5#76
Multimodal
10.1#113
20.5#64
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for QvQ-72B-Preview · 67 for Qwen3 VL 235B A22B Thinking

1 shared

QvQ-72B-Preview outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (MathVision).

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

162.6B diff

Qwen3 VL 235B A22B Thinking has 162.6B more parameters than QvQ-72B-Preview, making it 221.5% larger.

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
236.0Bparameters
73.4B
QvQ-72B-Preview
236.0B
Qwen3 VL 235B A22B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both QvQ-72B-Preview and Qwen3 VL 235B A22B Thinking 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 VL 235B A22B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

QvQ-72B-Preview is licensed under Qwen, while Qwen3 VL 235B A22B Thinking uses Apache 2.0.

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

QvQ-72B-Preview

Qwen

Open weights

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

QvQ-72B-Preview was released on 2024-12-25, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

Qwen3 VL 235B A22B Thinking is 9 months newer than QvQ-72B-Preview.

QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

11 months ago

9mo 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 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.

QvQ-72B-Preview
✓ Preferred
Qwen3 VL 235B A22B Thinking
Open in Playground

FAQ

Common questions about QvQ-72B-Preview vs Qwen3 VL 235B A22B Thinking.

Which is better, QvQ-72B-Preview or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking leads the LLM Stats Score 26.8 to 8.0. QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team and Qwen3 VL 235B A22B Thinking 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 VL 235B A22B Thinking in benchmarks?

QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

What are the context window sizes for QvQ-72B-Preview and Qwen3 VL 235B A22B Thinking?

QvQ-72B-Preview supports an unknown number of tokens and Qwen3 VL 235B A22B Thinking supports 262K 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 VL 235B A22B Thinking?

Key differences include LLM Stats Score (8.0 vs 26.8), licensing (Qwen vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Related comparisons