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Gemma 3n E4B Instructed vs Qwen2 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2 7B Instruct leads with 3.0% higher average benchmark score. Gemma 3n E4B Instructed supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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.
11 months newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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Gemma 3n E4B Instructed
Average Score:29.1%
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Qwen2 7B Instruct
Average Score:32.1%(+3.0%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
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 E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Qwen2 7B Instruct
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Gemma 3n E4B Instructed
Avg Score:29.1%
Providers:1
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Qwen2 7B Instruct
Avg Score:32.1%(+3.0%)
Providers:0