Model Comparison

Qwen3 VL 32B Thinking vs QwQ-32B-Preview

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Qwen3 VL 32B Thinking outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 0 benchmarks.

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

500.0M diff

Qwen3 VL 32B Thinking has 0.5B more parameters than QwQ-32B-Preview, making it 1.5% larger.

Qwen3 VL 32B Thinking

33.0Bparameters

QwQ-32B-Preview

32.5Bparameters

33.0B

Qwen3 VL 32B Thinking

32.5B

QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).

Qwen3 VL 32B Thinking

Input- tokens

Output- tokens

QwQ-32B-Preview

Input32,768 tokens

Output32,768 tokens

Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Thinking supports multimodal inputs, whereas QwQ-32B-Preview does not.

Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3 VL 32B Thinking

Text

Images

Audio

Video

QwQ-32B-Preview

Text

Images

Audio

Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3 VL 32B Thinking was released on 2025-09-22, while QwQ-32B-Preview was released on 2024-11-28.

Qwen3 VL 32B Thinking is 10 months newer than QwQ-32B-Preview.

Qwen3 VL 32B Thinking

Sep 22, 2025

7 months ago

9mo newer

QwQ-32B-Preview

Nov 28, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

Qwen3 VL 32B Thinking

—

QwQ-32B-Preview

Nov 2024

Outputs Comparison

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Key Takeaways

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Higher GPQA score (73.1% vs 65.2%)

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Larger context window (32,768 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3 VL 32B Thinking	QwQ-32B-Preview

FAQ

Common questions about Qwen3 VL 32B Thinking vs QwQ-32B-Preview.

Which is better, Qwen3 VL 32B Thinking or QwQ-32B-Preview?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3 VL 32B Thinking compare to QwQ-32B-Preview in benchmarks?

Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

What are the context window sizes for Qwen3 VL 32B Thinking and QwQ-32B-Preview?

Qwen3 VL 32B Thinking supports an unknown number of tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3 VL 32B Thinking and QwQ-32B-Preview?

Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.