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Gemma 3n E4B vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemma 3n E4B supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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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Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
6 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
Gemma 3n E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Gemma 3n E4B
Average Score:35.5%
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Llama 3.3 70B Instruct
Average Score:35.9%(+0.4%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
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
0 providers
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Llama 3.3 70B Instruct
9 providers
Bedrock
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Gemma 3n E4B
Avg Score:35.5%
Providers:0
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Llama 3.3 70B Instruct
Avg Score:35.9%(+0.4%)
Providers:9