Model Comparison

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

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-4.5-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.

DeepSeek-V3

DeepSeek

2024-12-25

GLM-4.5-Air

Zhipu AI

2025-07-28

7 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3

Larger context

Max Context:262.1K

Parameters:671.0B

GLM-4.5-Air

Max Context:-

Parameters:106.0B

Average performance across 6 common benchmarks

DeepSeek-V3

Average Score:57.3%

GLM-4.5-Air

+21.4%

Average Score:78.7%

Performance comparison across key benchmark categories

DeepSeek-V3

math

66.7%

general

70.5%

code

+22.5%

68.5%

GLM-4.5-Air

math

+31.4%

98.1%

general

+5.5%

76.0%

code

46.0%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

GLM-4.5-Air

0 providers

DeepSeek-V3

Avg Score:57.3%

Providers:1

GLM-4.5-Air

+21.4%

Avg Score:78.7%

Providers:0