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 Scout
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 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 Scout
Meta
2025-04-05
11 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Flash

Llama 4 Scout
Performance Metrics
Context window and performance specifications

Gemini 1.5 Flash

Llama 4 Scout
Average performance across 7 common benchmarks

Gemini 1.5 Flash

Llama 4 Scout
Performance comparison across key benchmark categories

Gemini 1.5 Flash

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

Gemini 1.5 Flash

Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Gemini 1.5 Flash

Llama 4 Scout