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Gemini 1.0 Pro vs Gemma 2 27B
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 30.5% higher average benchmark score. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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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.
4 months newer
Gemini 1.0 Pro
2024-02-15
Gemma 2 27B
2024-06-27
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Gemini 1.0 Pro
Average Score:19.8%
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Gemma 2 27B
Average Score:50.3%(+30.5%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Gemma 2 27B
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Gemini 1.0 Pro
Avg Score:19.8%
Providers:1
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Gemma 2 27B
Avg Score:50.3%(+30.5%)
Providers:0