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Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 2.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
8 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Average performance across 43 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:28.6%(+2.2%)
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Qwen2-VL-72B-Instruct
Average Score:26.4%
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E2B Instructed LiteRT (Preview)
0 providers
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Qwen2-VL-72B-Instruct
0 providers
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:28.6%(+2.2%)
Providers:0
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Qwen2-VL-72B-Instruct
Avg Score:26.4%
Providers:0