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Gemma 3n E2B Instructed LiteRT (Preview) vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 30.7% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
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Gemma 3N E2B IT LiteRT Preview was introduced as an experimental version optimized for LiteRT deployment, designed to push the boundaries of on-device AI. Built to demonstrate the potential of running instruction-tuned models on mobile and edge devices, it represents ongoing efforts to make AI more accessible across hardware platforms.
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Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
10 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
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Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:49.6%
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Llama 3.1 405B Instruct
Average Score:80.3%(+30.7%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed LiteRT (Preview)
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 Instructed LiteRT (Preview)
0 providers
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Llama 3.1 405B Instruct
8 providers
Bedrock
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:49.6%
Providers:0
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Llama 3.1 405B Instruct
Avg Score:80.3%(+30.7%)
Providers:8