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Gemma 3n E2B vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 25.9% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 providers. Overall, Llama 3.1 70B 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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Meta
Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). 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.
11 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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Gemma 3n E2B
Average Score:23.9%
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Llama 3.1 70B Instruct
Average Score:49.8%(+25.9%)
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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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Llama 3.1 70B Instruct
9 providers
Bedrock
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Gemma 3n E2B
Avg Score:23.9%
Providers:0
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Llama 3.1 70B Instruct
Avg Score:49.8%(+25.9%)
Providers:9