Model Comparison

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

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.

Alibaba

Qwen3 30B A3B

Alibaba

Qwen3 30B A3B is a language model developed by Alibaba. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen3 30B A3B

Alibaba

2025-04-29

Google

MedGemma 4B IT

Google

2025-05-20

21 days newer

Performance Metrics

Context window and performance specifications

Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B
Alibaba

Qwen3 30B A3B

Larger context
Max Context:256.0K
Parameters:30.5B

Performance comparison across key benchmark categories

Google

MedGemma 4B IT

general
59.5%
Alibaba

Qwen3 30B A3B

general
+15.4%
74.9%

Provider Availability & Performance

Available providers and their performance metrics

Google

MedGemma 4B IT

0 providers
Alibaba

Qwen3 30B A3B

3 providers

DeepInfra

Throughput: 82.57 tok/s
Latency: 0.84ms

Fireworks

Throughput: 122.4 tok/s
Latency: 0.66ms

Novita

Throughput: 88.84 tok/s
Latency: 0.73ms
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0
Alibaba

Qwen3 30B A3B

Avg Score:0.0%
Providers:3