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GLM-4.5 vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 7.4% higher average benchmark score. GLM-4.5 is available on 3 providers. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. 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 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
5 months newer
Phi 4 Mini
Microsoft
2025-02-01
GLM-4.5
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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GLM-4.5
Average Score:30.9%
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Phi 4 Mini
Average Score:38.3%(+7.4%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
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
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Phi 4 Mini
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GLM-4.5
Avg Score:30.9%
Providers:3
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Phi 4 Mini
Avg Score:38.3%(+7.4%)
Providers:0