Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 24.3% higher average benchmark score. Overall, Gemini 2.5 Pro Preview 06-05 is the stronger choice for coding tasks.
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M 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 2025, it represents Google's latest advancement in AI technology.
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.
16 days newer
MedGemma 4B IT
2025-05-20
Gemini 2.5 Pro Preview 06-05
2025-06-05
Context window and performance specifications
Average performance across 20 common benchmarks
Gemini 2.5 Pro Preview 06-05
MedGemma 4B IT
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
MedGemma 4B IT
Gemini 2.5 Pro Preview 06-05
MedGemma 4B IT
Gemini 2.5 Pro Preview 06-05
MedGemma 4B IT