Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 23.2% higher average benchmark score. Llama 4 Scout offers 20.0M more tokens in context window than Gemini 1.0 Pro. Llama 4 Scout is $1.62 cheaper per million tokens. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. 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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Gemini 1.0 Pro
Llama 4 Scout
Context window and performance specifications
Average performance across 16 common benchmarks
Gemini 1.0 Pro
Llama 4 Scout
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
Llama 4 Scout
Gemini 1.0 Pro
Llama 4 Scout
Gemini 1.0 Pro
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together