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Gemini Diffusion vs GLM-4.6
Comprehensive side-by-side LLM comparison
Gemini Diffusion leads with 2.9% higher average benchmark score. GLM-4.6 supports multimodal inputs. GLM-4.6 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.
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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.
4 months newer
Gemini Diffusion
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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Gemini Diffusion
Average Score:33.5%(+2.9%)
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GLM-4.6
Average Score:30.6%
Provider Availability & Performance
Available providers and their performance metrics
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Gemini Diffusion
0 providers
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
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Gemini Diffusion
Avg Score:33.5%(+2.9%)
Providers:0
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GLM-4.6
Avg Score:30.6%
Providers:2