Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 9.4% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $9.47 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.
10 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 33 common benchmarks
Gemini 2.5 Pro
Llama 3.1 405B Instruct
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Llama 3.1 405B Instruct
Gemini 2.5 Pro
Llama 3.1 405B Instruct
Llama 3.1 405B Instruct
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