Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 17.8% higher average benchmark score. Gemini 2.5 Flash offers 858.1K more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $1.02 cheaper per million tokens. Gemini 2.5 Flash 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 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). 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 Flash
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Flash
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 31 common benchmarks
Gemini 2.5 Flash
Llama 3.1 405B Instruct
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash
ZeroEval
Gemini 2.5 Flash
Llama 3.1 405B Instruct
Gemini 2.5 Flash
Llama 3.1 405B Instruct
Llama 3.1 405B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Lambda
Replicate
Together