Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 20.5% higher average benchmark score. Gemini 1.5 Flash offers 800.8K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $0.72 cheaper per million tokens. Gemini 1.5 Flash supports multimodal inputs. Overall, Gemini 1.5 Flash is the stronger choice for coding tasks.
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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.
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.
4 months newer
Gemini 1.5 Flash
2024-05-01
Llama 3.2 3B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Gemini 1.5 Flash
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 31 common benchmarks
Gemini 1.5 Flash
Llama 3.2 3B Instruct
Gemini 1.5 Flash
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Flash
Llama 3.2 3B Instruct
Gemini 1.5 Flash
Llama 3.2 3B Instruct
Gemini 1.5 Flash
Llama 3.2 3B Instruct
DeepInfra