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Gemini 1.5 Flash vs Gemma 2 27B
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 11.0% higher average benchmark score. Gemini 1.5 Flash supports multimodal inputs. Overall, Gemini 1.5 Flash is the stronger choice for coding tasks.
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Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 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.
1 month newer
Gemini 1.5 Flash
2024-05-01
Gemma 2 27B
2024-06-27
Performance Metrics
Context window and performance specifications
Average performance across 33 common benchmarks
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Gemini 1.5 Flash
Average Score:44.5%(+11.0%)
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Gemma 2 27B
Average Score:33.5%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash
2023-11-01
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 1.5 Flash
1 providers
Throughput: 150 tok/s
Latency: 0.3ms
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Gemma 2 27B
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Gemini 1.5 Flash
Avg Score:44.5%(+11.0%)
Providers:1
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Gemma 2 27B
Avg Score:33.5%
Providers:0