Comprehensive side-by-side LLM comparison
o1 leads with 8.7% higher average benchmark score. o1 offers 44.0K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $74.85 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. Overall, o1 is the stronger choice for coding tasks.
OpenAI
o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
1 month newer
o1
OpenAI
2024-12-17
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Cost per million tokens (USD)
o1
Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 32 common benchmarks
o1
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
o1
Azure
OpenAI
o1
Phi-4-multimodal-instruct
o1
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
DeepInfra