Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 7.7% higher average benchmark score. Overall, Gemma 2 9B is the stronger choice for coding tasks.
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.
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
3 months newer
Gemma 2 9B
2024-06-27
Llama 3.2 3B Instruct
Meta
2024-09-25
Context window and performance specifications
Average performance across 26 common benchmarks
Gemma 2 9B
Llama 3.2 3B Instruct
Available providers and their performance metrics
Gemma 2 9B
Llama 3.2 3B Instruct
DeepInfra
Gemma 2 9B
Llama 3.2 3B Instruct
Gemma 2 9B
Llama 3.2 3B Instruct