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GLM-4.5 vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 3.3% higher average benchmark score. GLM-4.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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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 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
2 months newer
Phi 4 Reasoning
Microsoft
2025-04-30
GLM-4.5
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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GLM-4.5
Average Score:42.6%(+3.3%)
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Phi 4 Reasoning
Average Score:39.4%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 Reasoning
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GLM-4.5
Avg Score:42.6%(+3.3%)
Providers:3
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Phi 4 Reasoning
Avg Score:39.4%
Providers:0