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Gemma 2 9B vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 4.0% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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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.
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Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
3 months newer
Gemma 2 9B
2024-06-27
Llama 3.2 90B Instruct
Meta
2024-09-25
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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Gemma 2 9B
Average Score:38.3%(+4.0%)
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Llama 3.2 90B Instruct
Average Score:34.3%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 9B
0 providers
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Llama 3.2 90B Instruct
5 providers
Bedrock
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Gemma 2 9B
Avg Score:38.3%(+4.0%)
Providers:0
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Llama 3.2 90B Instruct
Avg Score:34.3%
Providers:5