Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 4 Maverick offers 1.7M more tokens in context window than o4-mini. Llama 4 Maverick is $4.73 cheaper per million tokens. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 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
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. 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 2025, it represents OpenAI's latest advancement in AI technology.
11 days newer
Llama 4 Maverick
Meta
2025-04-05
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
Llama 4 Maverick
o4-mini
Context window and performance specifications
Average performance across 24 common benchmarks
Llama 4 Maverick
o4-mini
o4-mini
2024-05-31
Available providers and their performance metrics
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Maverick
o4-mini
Llama 4 Maverick
o4-mini
Sambanova
Together
o4-mini
OpenAI