Model Comparison

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

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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-V2.5

DeepSeek

2024-05-08

GLM-4.5-Air

Zhipu AI

2025-07-28

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek-V2.5

Larger context

Max Context:16.4K

Parameters:236.0B

GLM-4.5-Air

Max Context:-

Parameters:106.0B

Average performance across 1 common benchmarks

DeepSeek-V2.5

Average Score:16.8%

GLM-4.5-Air

+40.8%

Average Score:57.6%

Performance comparison across key benchmark categories

DeepSeek-V2.5

math

84.9%

general

68.4%

code

+20.1%

66.1%

GLM-4.5-Air

math

+13.2%

98.1%

general

+7.6%

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-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s

Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s

Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

GLM-4.5-Air

0 providers

DeepSeek-V2.5

Avg Score:16.8%

Providers:3

GLM-4.5-Air

+40.8%

Avg Score:57.6%

Providers:0