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Gemma 3n E4B Instructed vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 3.2 3B Instruct offers 192.0K more tokens in context window than Gemma 3n E4B Instructed. Llama 3.2 3B Instruct is $59.97 cheaper per million tokens. 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 IT was created as the instruction-tuned version of Gemma 3N E4B, designed to combine improved capability with edge optimization. Built for applications requiring both responsive instruction-following and edge-friendly efficiency, it serves as a stronger option for on-device AI assistants.
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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
9 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Gemma 3n E4B Instructed
2025-06-26
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3n E4B Instructed
Input:$20.00
Output:$40.00
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($59.97 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemma 3n E4B Instructed
Average Score:51.9%(+0.4%)
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Llama 3.2 3B Instruct
Average Score:51.5%
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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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Llama 3.2 3B Instruct
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Gemma 3n E4B Instructed
Avg Score:51.9%(+0.4%)
Providers:1
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Llama 3.2 3B Instruct
Avg Score:51.5%
Providers:1