Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 19.1% higher average benchmark score. Llama 4 Maverick offers 943.2K more tokens in context window than Gemini 1.5 Flash. Both models have similar pricing. Llama 4 Maverick is available on 7 providers. 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 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 Flash
2024-05-01
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
Gemini 1.5 Flash
Llama 4 Maverick
Context window and performance specifications
Average performance across 28 common benchmarks
Gemini 1.5 Flash
Llama 4 Maverick
Gemini 1.5 Flash
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Flash
Llama 4 Maverick
Gemini 1.5 Flash
Llama 4 Maverick
Gemini 1.5 Flash
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together