EXAONE 4.5 33B vs Qwen2.5 VL 72B Instruct
EXAONE 4.5 33B leads the LLM Stats Score 26.5 to 13.2.
LG AI Research · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
EXAONE 4.5 33B leads the overall LLM Stats Score 26.5 to 13.2, ranking #135 overall.
In the 5 individual benchmarks reported for both models, EXAONE 4.5 33B wins 5; 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 EXAONE 4.5 33B
- overall performance matters — it scores 26.5 and ranks #135 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- you want the most recent training data — it shipped Apr 2026
Choose Qwen2.5 VL 72B Instruct
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for EXAONE 4.5 33B · 30 for Qwen2.5 VL 72B Instruct
EXAONE 4.5 33B outperforms in 5 benchmarks (AI2D, MathVista-Mini, MMMU, MMMU-Pro, MMStar), while Qwen2.5 VL 72B Instruct is better at 0 benchmarks.
EXAONE 4.5 33B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5 VL 72B Instruct has 39.0B more parameters than EXAONE 4.5 33B, making it 118.2% larger.
Input capabilities
Documented input modalities across available providers
Both EXAONE 4.5 33B and Qwen2.5 VL 72B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
EXAONE 4.5 33B
Qwen2.5 VL 72B Instruct
License
Usage and distribution terms
EXAONE 4.5 33B is licensed under a proprietary license, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
EXAONE 4.5 33B was released on 2026-04-09, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.
EXAONE 4.5 33B is 15 months newer than Qwen2.5 VL 72B Instruct.
Apr 9, 2026
4 months ago
1.2yr newerJan 26, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Qwen2.5 VL 72B Instruct'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 Qwen2.5 VL 72B Instruct's cutoff date.
Dec 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against EXAONE 4.5 33B and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about EXAONE 4.5 33B vs Qwen2.5 VL 72B Instruct.