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GLM-4.5V vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
GLM-4.5V supports multimodal inputs. GLM-4.5V is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.5V was developed as a vision-language variant, designed to understand and reason about both images and text in Chinese and English. Built to extend Zhipu AI's multilingual capabilities into multimodal applications, it enables visual understanding alongside bilingual language processing.
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Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
11 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
GLM-4.5V
Zhipu AI
2025-08-11
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Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5V
2 providers
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Phi-3.5-MoE-instruct
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Phi-3.5-MoE-instruct
Avg Score:0.0%
Providers:0