Comprehensive side-by-side LLM comparison
o3-mini leads with 19.8% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than o3-mini. Llama 4 Scout is $5.12 cheaper per million tokens. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, o3-mini 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
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
2 months newer
o3-mini
OpenAI
2025-01-30
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Llama 4 Scout
o3-mini
Context window and performance specifications
Average performance across 34 common benchmarks
Llama 4 Scout
o3-mini
o3-mini
2023-09-30
Available providers and their performance metrics
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Scout
o3-mini
Llama 4 Scout
o3-mini
Together
o3-mini
Azure
OpenAI