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Gemma 2 27B vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Qwen2-VL-72B-Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, 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.
2 months newer
Gemma 2 27B
2024-06-27
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Average performance across 31 common benchmarks
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Gemma 2 27B
Average Score:35.7%
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Qwen2-VL-72B-Instruct
Average Score:36.7%(+1.0%)
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
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 2 27B
0 providers
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Qwen2-VL-72B-Instruct
0 providers
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Gemma 2 27B
Avg Score:35.7%
Providers:0
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Qwen2-VL-72B-Instruct
Avg Score:36.7%(+1.0%)
Providers:0