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Gemini 1.5 Pro vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 18.7% higher average benchmark score. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). 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 Pro
2024-05-01
Gemma 2 9B
2024-06-27
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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Gemini 1.5 Pro
Average Score:49.1%(+18.7%)
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Gemma 2 9B
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
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 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Gemma 2 9B
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Gemini 1.5 Pro
Avg Score:49.1%(+18.7%)
Providers:1
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Gemma 2 9B
Avg Score:30.4%
Providers:0