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Gemma 2 27B vs GPT-4o mini
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 23.4% higher average benchmark score. GPT-4o mini supports multimodal inputs. Overall, GPT-4o mini is the stronger choice for coding tasks.
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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-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
21 days newer
Gemma 2 27B
2024-06-27
GPT-4o mini
OpenAI
2024-07-18
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemma 2 27B
Average Score:56.4%
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GPT-4o mini
Average Score:79.8%(+23.4%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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 2 27B
0 providers
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GPT-4o mini
1 providers
Azure
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Gemma 2 27B
Avg Score:56.4%
Providers:0
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GPT-4o mini
Avg Score:79.8%(+23.4%)
Providers:1