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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.

OpenAI

GPT-5

OpenAI

GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 Telecom (96.7%). The model shows particular specialization in code tasks with an average performance of 90.7%. It supports a 528K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.

GLM-4.5

Zhipu AI

2025-07-28

OpenAI

GPT-5

OpenAI

2025-08-07

10 days newer

Pricing Comparison

Cost per million tokens (USD)

GLM-4.5

$9.25 cheaper
Input:$0.40
Output:$1.60
OpenAI

GPT-5

Input:$1.25
Output:$10.00

Performance Metrics

Context window and performance specifications

GLM-4.5

Max Context:262.1K
Parameters:355.0B
OpenAI

GPT-5

Larger context
Max Context:528.0K

Average performance across 3 common benchmarks

GLM-4.5

Average Score:56.6%
OpenAI

GPT-5

+15.3%
Average Score:71.8%

Performance comparison across key benchmark categories

GLM-4.5

math
+23.5%
98.2%
code
50.7%
general
+9.0%
79.3%
agents
55.5%
OpenAI

GPT-5

math
74.7%
code
+40.0%
90.7%
general
70.3%
agents
+18.3%
73.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5

2024-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5

1 providers

DeepInfra

OpenAI

GPT-5

2 providers

ZeroEval

Throughput: 100 tok/s
Latency: 2ms

OpenAI

Throughput: 100 tok/s
Latency: 2ms

GLM-4.5

Avg Score:56.6%
Providers:1
OpenAI

GPT-5

+15.3%
Avg Score:71.8%
Providers:2