Model Comparison

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

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.

Qwen2 7B Instruct

Alibaba Cloud / Qwen Team

Qwen2 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Qwen2 7B Instruct

Alibaba Cloud / Qwen Team

2024-07-23

GLM-4.5

Zhipu AI

2025-07-28

1 year newer

Performance Metrics

Context window and performance specifications

GLM-4.5

Larger context

Max Context:262.1K

Parameters:355.0B

Qwen2 7B Instruct

Max Context:-

Parameters:7.6B

Average performance across 3 common benchmarks

GLM-4.5

+46.9%

Average Score:78.9%

Qwen2 7B Instruct

Average Score:32.0%

Performance comparison across key benchmark categories

GLM-4.5

math

+32.3%

98.2%

general

+31.9%

79.3%

code

50.7%

Qwen2 7B Instruct

math

66.0%

general

47.5%

code

+12.7%

63.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5

1 providers

DeepInfra

Qwen2 7B Instruct

0 providers

GLM-4.5

+46.9%

Avg Score:78.9%

Providers:1

Qwen2 7B Instruct

Avg Score:32.0%

Providers:0