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Qwen3 VL 32B Thinking vs QwQ-32B

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

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

Which is better?

Qwen3 VL 32B Thinking outperforms in 2 benchmarks (GPQA, IFEval), while QwQ-32B is better at 0 benchmarks. Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Qwen3 VL 32B Thinking

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Choose QwQ-32B

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

At a glance

The differences that matter most.

Benchmark wins
2 of 2
0 of 2
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Sep 2025
Mar 2025
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen3 VL 32B Thinking outperforms in 2 benchmarks (GPQA, IFEval), while QwQ-32B is better at 0 benchmarks.

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Thu Aug 27 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

500.0M diff

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

Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
33.0B
Qwen3 VL 32B Thinking
32.5B
QwQ-32B

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Thinking supports multimodal inputs, whereas QwQ-32B 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

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

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 was released on 2025-03-05.

Qwen3 VL 32B Thinking is 7 months newer than QwQ-32B.

Qwen3 VL 32B Thinking

Sep 22, 2025

11 months ago

6mo newer
QwQ-32B

Mar 5, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

QwQ-32B 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'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

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Qwen3 VL 32B Thinking and QwQ-32B side-by-side, then vote on the output you prefer.

Qwen3 VL 32B Thinking
✓ Preferred
QwQ-32B
Open in Playground

FAQ

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

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

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team and QwQ-32B 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 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 scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

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

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