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Gemma 3n E2B vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 17.6% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Qwen2.5 72B Instruct is available on 4 providers. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 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. Released in 2025, it represents Google's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). It supports a 139K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
9 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Gemma 3n E2B
Average Score:25.8%
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Qwen2.5 72B Instruct
Average Score:43.4%(+17.6%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
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
0 providers
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Qwen2.5 72B Instruct
4 providers
DeepInfra
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Gemma 3n E2B
Avg Score:25.8%
Providers:0
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Qwen2.5 72B Instruct
Avg Score:43.4%(+17.6%)
Providers:4