Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 7.2% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $10.72 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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.
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
2 months newer
Gemini 1.5 Pro
2024-05-01
Llama 3.1 405B Instruct
Meta
2024-07-23
Cost per million tokens (USD)
Gemini 1.5 Pro
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 34 common benchmarks
Gemini 1.5 Pro
Llama 3.1 405B Instruct
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
Llama 3.1 405B Instruct
Gemini 1.5 Pro
Llama 3.1 405B Instruct
Gemini 1.5 Pro
Llama 3.1 405B Instruct
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