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Gemini 2.0 Flash vs Gemma 2 27B
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 8.5% higher average benchmark score. Gemini 2.0 Flash supports multimodal inputs. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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.
5 months newer
Gemma 2 27B
2024-06-27
Gemini 2.0 Flash
2024-12-01
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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Gemini 2.0 Flash
Average Score:30.9%
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Gemma 2 27B
Average Score:39.5%(+8.5%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash
2024-08-01
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 2.0 Flash
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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Gemma 2 27B
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Gemini 2.0 Flash
Avg Score:30.9%
Providers:1
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Gemma 2 27B
Avg Score:39.5%(+8.5%)
Providers:0