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Gemma 3n E4B Instructed vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 20.9% higher average benchmark score. GPT-4.1 nano offers 1.0M more tokens in context window than Gemma 3n E4B Instructed. GPT-4.1 nano is $59.50 cheaper per million tokens. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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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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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
2 months newer
GPT-4.1 nano
OpenAI
2025-04-14
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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GPT-4.1 nano
Input:$0.10
Output:$0.40($59.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3n E4B Instructed
Average Score:44.3%
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GPT-4.1 nano
Average Score:65.2%(+20.9%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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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GPT-4.1 nano
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Gemma 3n E4B Instructed
Avg Score:44.3%
Providers:1
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GPT-4.1 nano
Avg Score:65.2%(+20.9%)
Providers:1