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GLM-4.5V vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
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 is a multimodal language model developed by Zhipu AI. 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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Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). 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 2024, it represents Microsoft's latest advancement in AI technology.
11 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
GLM-4.5V
Zhipu AI
2025-08-11
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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GLM-4.5V
Average Score:0.0%
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Phi-3.5-vision-instruct
Average Score:68.3%(+68.3%)
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-vision-instruct
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Phi-3.5-vision-instruct
Avg Score:68.3%(+68.3%)
Providers:0