Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 10.4% higher average benchmark score. GPT-4o mini offers 103.4K more tokens in context window than Gemini 1.0 Pro. GPT-4o mini is $1.25 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Overall, GPT-4o mini is the stronger choice for coding tasks.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K 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 OpenAI's latest advancement in AI technology.
5 months newer
Gemini 1.0 Pro
2024-02-15
GPT-4o mini
OpenAI
2024-07-18
Cost per million tokens (USD)
Gemini 1.0 Pro
GPT-4o mini
Context window and performance specifications
Average performance across 13 common benchmarks
Gemini 1.0 Pro
GPT-4o mini
GPT-4o mini
2023-10-01
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
GPT-4o mini
Gemini 1.0 Pro
GPT-4o mini
Gemini 1.0 Pro
GPT-4o mini
Azure