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EXAONE 4.5 33B vs Qwen3 VL 32B Thinking

EXAONE 4.5 33B significantly outperforms across most benchmarks.

LG AI Research · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

EXAONE 4.5 33B outperforms in 7 benchmarks (AI2D, AIME 2025, GPQA, IFEval, LiveCodeBench v6, MMLU-Pro, MMMU-Pro), while Qwen3 VL 32B Thinking is better at 2 benchmarks (MathVista-Mini, MMStar). EXAONE 4.5 33B significantly outperforms across most benchmarks.

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

Choose EXAONE 4.5 33B

  • you want the strongest raw capability — it leads on 7 of 9 shared benchmarks
  • you want the most recent training data — it shipped Apr 2026

Choose Qwen3 VL 32B Thinking

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

At a glance

The differences that matter most.

Benchmark wins
7 of 9
2 of 9
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Apr 2026
Sep 2025
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

9 benchmarks

EXAONE 4.5 33B outperforms in 7 benchmarks (AI2D, AIME 2025, GPQA, IFEval, LiveCodeBench v6, MMLU-Pro, MMMU-Pro), while Qwen3 VL 32B Thinking is better at 2 benchmarks (MathVista-Mini, MMStar).

EXAONE 4.5 33B 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

0.0M diff

Qwen3 VL 32B Thinking has 0.0B more parameters than EXAONE 4.5 33B, making it 0.0% larger.

LG AI Research
EXAONE 4.5 33B
33.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
33.0B
EXAONE 4.5 33B
33.0B
Qwen3 VL 32B Thinking

Input Capabilities

Supported data types and modalities

Both EXAONE 4.5 33B and Qwen3 VL 32B Thinking support multimodal inputs.

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

EXAONE 4.5 33B

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

EXAONE 4.5 33B is licensed under a proprietary license, while Qwen3 VL 32B Thinking uses Apache 2.0.

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

EXAONE 4.5 33B

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Qwen3 VL 32B Thinking was released on 2025-09-22.

EXAONE 4.5 33B is 7 months newer than Qwen3 VL 32B Thinking.

EXAONE 4.5 33B

Apr 9, 2026

4 months ago

6mo newer
Qwen3 VL 32B Thinking

Sep 22, 2025

11 months ago

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm EXAONE 4.5 33B's training data extends to 2024-12-01, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

EXAONE 4.5 33B

Dec 2024

Qwen3 VL 32B Thinking

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs Qwen3 VL 32B Thinking.

Which is better, EXAONE 4.5 33B or Qwen3 VL 32B Thinking?

EXAONE 4.5 33B significantly outperforms across most benchmarks. EXAONE 4.5 33B is made by LG AI Research and Qwen3 VL 32B Thinking 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 EXAONE 4.5 33B compare to Qwen3 VL 32B Thinking in benchmarks?

EXAONE 4.5 33B scores AIME 2025: 92.9%, AIME 2026: 92.6%, IFEval: 89.6%, AI2D: 89.0%, MathVista-Mini: 85.0%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the main differences between EXAONE 4.5 33B and Qwen3 VL 32B Thinking?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and Qwen3 VL 32B Thinking?

EXAONE 4.5 33B is developed by LG AI Research and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.