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GLM-4.6 vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 1.4% higher average benchmark score. GLM-4.6 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
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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.
4 months newer
MedGemma 4B IT
2025-05-20
GLM-4.6
Zhipu AI
2025-09-30
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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GLM-4.6
Average Score:30.6%(+1.4%)
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MedGemma 4B IT
Average Score:29.3%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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MedGemma 4B IT
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GLM-4.6
Avg Score:30.6%(+1.4%)
Providers:2
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MedGemma 4B IT
Avg Score:29.3%
Providers:0