Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 25.4% higher average benchmark score. Gemini 1.5 Pro offers 105.3K more tokens in context window than Llama 4 Maverick. Llama 4 Maverick is $11.73 cheaper per million tokens. Llama 4 Maverick is available on 7 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 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
11 months newer
Gemini 1.5 Pro
2024-05-01
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
Gemini 1.5 Pro
Llama 4 Maverick
Context window and performance specifications
Average performance across 29 common benchmarks
Gemini 1.5 Pro
Llama 4 Maverick
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
Llama 4 Maverick
Gemini 1.5 Pro
Llama 4 Maverick
Gemini 1.5 Pro
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together