Model Comparison

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

OpenAI

GPT-5 mini

OpenAI

GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). 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.

Google

MedGemma 4B IT

Google

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.

Google

MedGemma 4B IT

Google

2025-05-20

OpenAI

GPT-5 mini

OpenAI

2025-08-07

2 months newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-5 mini

Larger context
Max Context:528.0K
Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B

Performance comparison across key benchmark categories

OpenAI

GPT-5 mini

general
+10.0%
69.5%
Google

MedGemma 4B IT

general
59.5%
Knowledge Cutoff
Training data recency comparison

GPT-5 mini

2024-05-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-5 mini

2 providers

ZeroEval

Throughput: 200 tok/s
Latency: 1ms

OpenAI

Throughput: 200 tok/s
Latency: 1ms
Google

MedGemma 4B IT

0 providers
OpenAI

GPT-5 mini

Avg Score:0.0%
Providers:2
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0