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

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.

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

MedGemma 4B IT
2025-05-20

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
2 months newer
Performance Metrics
Context window and performance specifications

MedGemma 4B IT

Qwen3-235B-A22B-Thinking-2507
Performance comparison across key benchmark categories

MedGemma 4B IT

Qwen3-235B-A22B-Thinking-2507
Provider Availability & Performance
Available providers and their performance metrics

MedGemma 4B IT

Qwen3-235B-A22B-Thinking-2507
Novita

MedGemma 4B IT

Qwen3-235B-A22B-Thinking-2507