Model Comparison

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

GLM-4.5V

Zhipu AI

GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K 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. 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.

IBM

IBM Granite 4.0 Tiny Preview

IBM

IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

GLM-4.5V

Zhipu AI

2025-08-11

3 months newer

Performance Metrics

Context window and performance specifications

GLM-4.5V

Larger context
Max Context:196.6K
Parameters:108.0B
IBM

IBM Granite 4.0 Tiny Preview

Max Context:-
Parameters:7.0B

Average performance across 12 common benchmarks

GLM-4.5V

Average Score:0.0%
IBM

IBM Granite 4.0 Tiny Preview

+57.1%
Average Score:57.1%

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
IBM

IBM Granite 4.0 Tiny Preview

0 providers

GLM-4.5V

Avg Score:0.0%
Providers:2
IBM

IBM Granite 4.0 Tiny Preview

+57.1%
Avg Score:57.1%
Providers:0