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Gemma 3 4B vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 40.4% higher average benchmark score. GPT-5 nano offers 265.9K more tokens in context window than Gemma 3 4B. Both models have similar pricing. Overall, GPT-5 nano is the stronger choice for coding tasks.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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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.
4 months newer
Gemma 3 4B
2025-03-12
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 4B
Input:$0.02
Output:$0.04($0.39 cheaper)
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GPT-5 nano
Input:$0.05
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemma 3 4B
Average Score:30.8%
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GPT-5 nano
Average Score:71.2%(+40.4%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
Gemma 3 4B
2024-08-01
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 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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GPT-5 nano
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Gemma 3 4B
Avg Score:30.8%
Providers:1
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GPT-5 nano
Avg Score:71.2%(+40.4%)
Providers:2