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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 Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME25 (87.8%). It supports a 131K 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.

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Alibaba Cloud / Qwen Team

2025-01-10

Google

MedGemma 4B IT

Google

2025-05-20

4 months newer

Performance Metrics

Context window and performance specifications

Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Larger context
Max Context:131.1K
Parameters:80.0B

Performance comparison across key benchmark categories

Google

MedGemma 4B IT

general
59.5%
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

general
+18.1%
77.6%

Provider Availability & Performance

Available providers and their performance metrics

Google

MedGemma 4B IT

0 providers
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

1 providers

Novita

Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Avg Score:0.0%
Providers:1