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Model Comparison

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

DeepSeek

DeepSeek VL2 Small

DeepSeek

DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). 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-4.5

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.

DeepSeek

DeepSeek VL2 Small

DeepSeek

2024-12-13

GLM-4.5

Zhipu AI

2025-07-28

7 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2 Small

Max Context:-
Parameters:16.0B

GLM-4.5

Larger context
Max Context:262.1K
Parameters:355.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

math
60.7%
general
68.9%

GLM-4.5

math
+37.5%
98.2%
general
+10.4%
79.3%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers

GLM-4.5

1 providers

DeepInfra

DeepSeek

DeepSeek VL2 Small

Avg Score:0.0%
Providers:0

GLM-4.5

Avg Score:0.0%
Providers:1