Comprehensive side-by-side LLM comparison
o4-mini leads with 10.5% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Llama 3.2 11B Instruct. Llama 3.2 11B Instruct is $5.40 cheaper per million tokens. Llama 3.2 11B Instruct is available on 6 providers. Overall, o4-mini is the stronger choice for coding tasks.
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. 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 2024, 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.
6 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
Llama 3.2 11B Instruct
o4-mini
Context window and performance specifications
Average performance across 22 common benchmarks
Llama 3.2 11B Instruct
o4-mini
Llama 3.2 11B Instruct
2023-12-31
o4-mini
2024-05-31
Available providers and their performance metrics
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Llama 3.2 11B Instruct
o4-mini
Llama 3.2 11B Instruct
o4-mini
Together
o4-mini
OpenAI