Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 1.5 Flash
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.

Llama 4 Maverick
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%). The model shows particular specialization in vision tasks with an average performance of 75.8%. 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.

Gemini 1.5 Flash
2024-05-01

Llama 4 Maverick
Meta
2025-04-05
11 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Flash

Llama 4 Maverick
Performance Metrics
Context window and performance specifications

Gemini 1.5 Flash

Llama 4 Maverick
Average performance across 7 common benchmarks

Gemini 1.5 Flash

Llama 4 Maverick
Performance comparison across key benchmark categories

Gemini 1.5 Flash

Llama 4 Maverick
Gemini 1.5 Flash
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash

Llama 4 Maverick
Sambanova
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Gemini 1.5 Flash

Llama 4 Maverick