Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 41.9% higher average benchmark score. GPT-4.1 mini is available on 2 providers. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
2 months newer
Gemini 2.0 Flash Thinking
2025-01-21
GPT-4.1 mini
OpenAI
2025-04-14
Context window and performance specifications
Average performance across 29 common benchmarks
Gemini 2.0 Flash Thinking
GPT-4.1 mini
GPT-4.1 mini
2024-05-31
Gemini 2.0 Flash Thinking
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash Thinking
GPT-4.1 mini
OpenAI
Gemini 2.0 Flash Thinking
GPT-4.1 mini
Gemini 2.0 Flash Thinking
GPT-4.1 mini
ZeroEval