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Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

GLM-4.5

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 1 API provider. 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.

Microsoft

Phi-3.5-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. 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.

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

GLM-4.5

Zhipu AI

2025-07-28

11 months newer

Pricing Comparison

Cost per million tokens (USD)

GLM-4.5

Input:$0.40
Output:$1.60
Microsoft

Phi-3.5-mini-instruct

$1.80 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

GLM-4.5

Larger context
Max Context:262.1K
Parameters:355.0B
Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B

Average performance across 2 common benchmarks

GLM-4.5

+42.9%
Average Score:81.8%
Microsoft

Phi-3.5-mini-instruct

Average Score:38.9%

Performance comparison across key benchmark categories

GLM-4.5

math
+37.3%
98.2%
general
+23.9%
79.3%
reasoning
41.1%
code
50.7%
Microsoft

Phi-3.5-mini-instruct

math
60.9%
general
55.4%
reasoning
+33.1%
74.2%
code
+15.5%
66.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5

1 providers

DeepInfra

Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms

GLM-4.5

+42.9%
Avg Score:81.8%
Providers:1
Microsoft

Phi-3.5-mini-instruct

Avg Score:38.9%
Providers:1