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Gemma 3n E4B Instructed vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 60.6% higher average benchmark score. GPT-5 nano offers 464.0K more tokens in context window than Gemma 3n E4B Instructed. GPT-5 nano is $59.55 cheaper per million tokens. Overall, GPT-5 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-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
1 month newer
Gemma 3n E4B Instructed
2025-06-26
GPT-5 nano
OpenAI
2025-08-07
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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-5 nano
Input:$0.05
Output:$0.40($59.55 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3n E4B Instructed
Average Score:17.6%
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GPT-5 nano
Average Score:78.2%(+60.6%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
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-5 nano
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Gemma 3n E4B Instructed
Avg Score:17.6%
Providers:1
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GPT-5 nano
Avg Score:78.2%(+60.6%)
Providers:2