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Gemma 2 27B vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 25.3% higher average benchmark score. o1-mini is available on 2 providers. Overall, o1-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
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
2 months newer
Gemma 2 27B
2024-06-27
o1-mini
OpenAI
2024-09-12
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 2 27B
Average Score:63.5%
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o1-mini
Average Score:88.8%(+25.3%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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o1-mini
2 providers
Azure
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Gemma 2 27B
Avg Score:63.5%
Providers:0
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o1-mini
Avg Score:88.8%(+25.3%)
Providers:2