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GLM-4.5V vs Phi 4
Comprehensive side-by-side LLM comparison
GLM-4.5V offers 164.6K more tokens in context window than Phi 4. Phi 4 is $2.59 cheaper per million tokens. GLM-4.5V supports multimodal inputs. 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 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
8 months newer
Phi 4
Microsoft
2024-12-12
GLM-4.5V
Zhipu AI
2025-08-11
Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5V
Input:$0.60
Output:$2.20
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Phi 4
Input:$0.07
Output:$0.14($2.59 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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GLM-4.5V
Average Score:0.0%
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Phi 4
Average Score:66.0%(+66.0%)
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Knowledge Cutoff
Training data recency comparison
Phi 4
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-4.5V
2 providers
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Phi 4
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Phi 4
Avg Score:66.0%(+66.0%)
Providers:1