Comprehensive side-by-side LLM comparison
Llama 3.1 8B Instruct leads with 2.2% higher average benchmark score. Llama 3.1 8B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
26 days newer
Gemma 2 9B
2024-06-27
Llama 3.1 8B Instruct
Meta
2024-07-23
Context window and performance specifications
Average performance across 31 common benchmarks
Gemma 2 9B
Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
2023-12-31
Available providers and their performance metrics
Gemma 2 9B
Llama 3.1 8B Instruct
Bedrock
Gemma 2 9B
Llama 3.1 8B Instruct
Gemma 2 9B
Llama 3.1 8B Instruct
Cerebras
DeepInfra
Fireworks
Groq
Hyperbolic
Lambda
Sambanova
Together