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

GPT-5 nano
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. 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.

MedGemma 4B IT
MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). 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.

MedGemma 4B IT
2025-05-20

GPT-5 nano
OpenAI
2025-08-07
2 months newer
Performance Metrics
Context window and performance specifications

GPT-5 nano

MedGemma 4B IT
Performance comparison across key benchmark categories

GPT-5 nano

MedGemma 4B IT
GPT-5 nano
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics

GPT-5 nano
ZeroEval
OpenAI

MedGemma 4B IT

GPT-5 nano

MedGemma 4B IT