Comprehensive side-by-side LLM comparison
o4-mini leads with 19.3% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Pixtral Large. o4-mini is $2.50 cheaper per million tokens. Overall, o4-mini is the stronger choice for coding tasks.
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.
Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K 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 2024, it represents Mistral AI's latest advancement in AI technology.
4 months newer
Pixtral Large
Mistral AI
2024-11-18
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
o4-mini
Pixtral Large
Context window and performance specifications
Average performance across 19 common benchmarks
o4-mini
Pixtral Large
o4-mini
2024-05-31
Available providers and their performance metrics
o4-mini
OpenAI
Pixtral Large
o4-mini
Pixtral Large
o4-mini
Pixtral Large
Mistral AI