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GLM-4.5-Air vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.5 Air was created as a lightweight variant of GLM-4.5, designed to provide strong bilingual capabilities with improved efficiency. Built to serve applications requiring practical deployment with reduced resource requirements, it extends GLM-4.5's multilingual strengths to resource-conscious scenarios.
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Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
5 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
GLM-4.5-Air
Zhipu AI
2025-07-28
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Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5-Air
0 providers
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Phi-4-multimodal-instruct
1 providers
DeepInfra
Throughput:
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GLM-4.5-Air
Avg Score:0.0%
Providers:0
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Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1