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Gemma 2 27B vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 4.9% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 2 27B was developed as an open-source language model with 27 billion parameters, designed to provide researchers and developers with a capable, instruction-tuned model for experimentation and deployment. Built to democratize access to advanced language understanding, it combines strong performance with the flexibility of open-source licensing.
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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.
9 months newer
Gemma 2 27B
2024-06-27
GPT-4.1 nano
OpenAI
2025-04-14
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemma 2 27B
Average Score:75.2%
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GPT-4.1 nano
Average Score:80.1%(+4.9%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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 2 27B
0 providers
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GPT-4.1 nano
1 providers
OpenAI
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Gemma 2 27B
Avg Score:75.2%
Providers:0
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GPT-4.1 nano
Avg Score:80.1%(+4.9%)
Providers:1