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GLM-4.5 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 42.9% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $1.80 cheaper per million tokens. GLM-4.5 is available on 3 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.5 was developed by Zhipu AI as an advanced bilingual language model, designed to excel at both Chinese and English language tasks. Built to serve diverse applications across multiple languages, it represents Zhipu AI's commitment to multilingual AI capabilities.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
11 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
GLM-4.5
Zhipu AI
2025-07-28
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5
Input:$0.40
Output:$1.60
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($1.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GLM-4.5
Average Score:81.8%(+42.9%)
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Phi-3.5-mini-instruct
Average Score:38.9%
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-3.5-mini-instruct
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GLM-4.5
Avg Score:81.8%(+42.9%)
Providers:3
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Phi-3.5-mini-instruct
Avg Score:38.9%
Providers:1