Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 23.5% higher average benchmark score. Llama 4 Scout offers 19.8M more tokens in context window than o1-mini. Llama 4 Scout is $14.62 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.
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.
OpenAI
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
6 months newer
o1-mini
OpenAI
2024-09-12
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Llama 4 Scout
o1-mini
Context window and performance specifications
Average performance across 16 common benchmarks
Llama 4 Scout
o1-mini
Available providers and their performance metrics
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Scout
o1-mini
Llama 4 Scout
o1-mini
Together
o1-mini
Azure
OpenAI