Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 Google's latest advancement in AI technology.

GPT-4.1 mini
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.

Gemini 1.5 Pro
2024-05-01

GPT-4.1 mini
OpenAI
2025-04-14
11 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Pro

GPT-4.1 mini
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

GPT-4.1 mini
Average performance across 4 common benchmarks

Gemini 1.5 Pro

GPT-4.1 mini
Performance comparison across key benchmark categories

Gemini 1.5 Pro

GPT-4.1 mini
Gemini 1.5 Pro
2023-11-01
GPT-4.1 mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

GPT-4.1 mini
ZeroEval
OpenAI

Gemini 1.5 Pro

GPT-4.1 mini