Gemma 4 E2B vs Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to 6.7.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2-VL-72B-Instruct leads the overall LLM Stats Score 14.3 to 6.7, ranking #240 overall.
In the 1 individual benchmarks reported for both models, Qwen2-VL-72B-Instruct 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 Gemma 4 E2B
- you want the most recent training data — it shipped Apr 2026
Choose Qwen2-VL-72B-Instruct
- overall performance matters — it scores 14.3 and ranks #240 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Gemma 4 E2B · 15 for Qwen2-VL-72B-Instruct
Gemma 4 E2B outperforms in 0 benchmarks, while Qwen2-VL-72B-Instruct is better at 1 benchmark (MMMU-Pro).
Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2-VL-72B-Instruct has 68.3B more parameters than Gemma 4 E2B, making it 1339.2% larger.
Input capabilities
Documented input modalities across available providers
Both Gemma 4 E2B and Qwen2-VL-72B-Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 E2B
Qwen2-VL-72B-Instruct
License
Usage and distribution terms
Gemma 4 E2B is licensed under Apache 2.0, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
Gemma 4 E2B was released on 2026-04-02, while Qwen2-VL-72B-Instruct was released on 2024-08-29.
Gemma 4 E2B is 19 months newer than Qwen2-VL-72B-Instruct.
Apr 2, 2026
5 months ago
1.6yr newerAug 29, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Gemma 4 E2B has a knowledge cutoff of 2025-01-01, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.
Gemma 4 E2B has more recent training data (up to 2025-01-01), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).
Jan 2025
1.6 yr newerJun 2023
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 E2B and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 E2B vs Qwen2-VL-72B-Instruct.