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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-4.1 nano

OpenAI

GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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.

OpenAI

GPT-4.1 nano

OpenAI

2025-04-14

GLM-4.5

Zhipu AI

2025-07-28

3 months newer

Pricing Comparison

Cost per million tokens (USD)

GLM-4.5

Input:$0.40
Output:$1.60
OpenAI

GPT-4.1 nano

$1.50 cheaper
Input:$0.10
Output:$0.40

Performance Metrics

Context window and performance specifications

GLM-4.5

Max Context:262.1K
Parameters:355.0B
OpenAI

GPT-4.1 nano

Larger context
Max Context:1.1M

Average performance across 4 common benchmarks

GLM-4.5

+48.5%
Average Score:77.6%
OpenAI

GPT-4.1 nano

Average Score:29.1%

Performance comparison across key benchmark categories

GLM-4.5

math
+42.0%
98.2%
general
+45.6%
79.3%
agents
+37.2%
55.5%
code
+8.6%
50.7%
OpenAI

GPT-4.1 nano

math
56.2%
general
33.7%
agents
18.3%
code
42.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1 nano

2024-05-31

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-4.1 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms

GLM-4.5

+48.5%
Avg Score:77.6%
Providers:1
OpenAI

GPT-4.1 nano

Avg Score:29.1%
Providers:1