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MedGemma 4B IT vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 41.3% higher average benchmark score. MedGemma 4B IT supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
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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.
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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%), AIME 2025 (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.
2 months newer
MedGemma 4B IT
2025-05-20
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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MedGemma 4B IT
Average Score:12.8%
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Qwen3-235B-A22B-Thinking-2507
Average Score:54.1%(+41.3%)
Provider Availability & Performance
Available providers and their performance metrics
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MedGemma 4B IT
0 providers
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Qwen3-235B-A22B-Thinking-2507
1 providers
Novita
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MedGemma 4B IT
Avg Score:12.8%
Providers:0
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Qwen3-235B-A22B-Thinking-2507
Avg Score:54.1%(+41.3%)
Providers:1