Comprehensive side-by-side LLM comparison
o4-mini leads with 3.5% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $5.47 cheaper per million tokens. o4-mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 3B Instruct
Meta
2024-09-25
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
Llama 3.2 3B Instruct
o4-mini
Context window and performance specifications
Average performance across 28 common benchmarks
Llama 3.2 3B Instruct
o4-mini
o4-mini
2024-05-31
Available providers and their performance metrics
Llama 3.2 3B Instruct
DeepInfra
o4-mini
Llama 3.2 3B Instruct
o4-mini
Llama 3.2 3B Instruct
o4-mini
OpenAI