Model Comparison

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

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

GLM-4.5-Air

Zhipu AI

GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). 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.

GLM-4.5-Air

Zhipu AI

2025-07-28

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

2 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3.2-Exp

Larger context

Max Context:229.4K

Parameters:685.0B

GLM-4.5-Air

Max Context:-

Parameters:106.0B

Average performance across 21 common benchmarks

DeepSeek-V3.2-Exp

+0.8%

Average Score:41.3%

GLM-4.5-Air

Average Score:40.5%

Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

math

86.5%

general

62.1%

code

+18.3%

64.3%

agents

44.0%

GLM-4.5-Air

math

+11.6%

98.1%

general

+13.9%

76.0%

code

46.0%

agents

+9.3%

53.3%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s

Latency: 0.7ms

GLM-4.5-Air

0 providers

DeepSeek-V3.2-Exp

+0.8%

Avg Score:41.3%

Providers:2

GLM-4.5-Air

Avg Score:40.5%

Providers:0