Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 3.0% higher average benchmark score. Llama 4 Scout offers 18.9M more tokens in context window than Gemini 2.0 Flash. Both models have similar pricing. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 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%). 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.
4 months newer
Gemini 2.0 Flash
2024-12-01
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Gemini 2.0 Flash
Llama 4 Scout
Context window and performance specifications
Average performance across 20 common benchmarks
Gemini 2.0 Flash
Llama 4 Scout
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Llama 4 Scout
Gemini 2.0 Flash
Llama 4 Scout
Gemini 2.0 Flash
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together