Model Comparison

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

DeepSeek

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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-V3

DeepSeek

2024-12-25

GLM-4.5V

Zhipu AI

2025-08-11

7 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3

$1.43 cheaper
Input:$0.27
Output:$1.10

GLM-4.5V

Input:$0.60
Output:$2.20

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3

Larger context
Max Context:262.1K
Parameters:671.0B

GLM-4.5V

Max Context:196.6K
Parameters:108.0B

Average performance across 20 common benchmarks

DeepSeek

DeepSeek-V3

+67.2%
Average Score:67.2%

GLM-4.5V

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
DeepSeek

DeepSeek-V3

+67.2%
Avg Score:67.2%
Providers:1

GLM-4.5V

Avg Score:0.0%
Providers:2