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Gemma 2 27B vs GPT-4o mini
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 24.3% higher average benchmark score. GPT-4o mini supports multimodal inputs. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.
21 days newer
Gemma 2 27B
2024-06-27
GPT-4o mini
OpenAI
2024-07-18
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Gemma 2 27B
Average Score:50.3%(+24.3%)
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GPT-4o mini
Average Score:26.0%
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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:50.3%(+24.3%)
Providers:0
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GPT-4o mini
Avg Score:26.0%
Providers:1