Model Comparison

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

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

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.

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

2024-12-13

GLM-4.5V

Zhipu AI

2025-08-11

8 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2 Tiny

Max Context:-
Parameters:3.0B

GLM-4.5V

Larger context
Max Context:196.6K
Parameters:108.0B

Average performance across 14 common benchmarks

DeepSeek

DeepSeek VL2 Tiny

+63.1%
Average Score:63.1%

GLM-4.5V

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Tiny

0 providers

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
DeepSeek

DeepSeek VL2 Tiny

+63.1%
Avg Score:63.1%
Providers:0

GLM-4.5V

Avg Score:0.0%
Providers:2