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

Gemini 2.5 Flash
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). 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 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.

GPT-4.1 mini
OpenAI
2025-04-14

Gemini 2.5 Flash
2025-05-20
1 month newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash

GPT-4.1 mini
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash

GPT-4.1 mini
Average performance across 8 common benchmarks

Gemini 2.5 Flash

GPT-4.1 mini
Performance comparison across key benchmark categories

Gemini 2.5 Flash

GPT-4.1 mini
GPT-4.1 mini
2024-05-31
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash
ZeroEval

GPT-4.1 mini
ZeroEval
OpenAI

Gemini 2.5 Flash

GPT-4.1 mini