Model Comparison

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

DeepSeek R1 Distill Qwen 7B

DeepSeek

DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). 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

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.

DeepSeek R1 Distill Qwen 7B

DeepSeek

2025-01-20

GLM-4.5

Zhipu AI

2025-07-28

6 months newer

Performance Metrics

Context window and performance specifications

DeepSeek R1 Distill Qwen 7B

Max Context:-

Parameters:7.6B

GLM-4.5

Larger context

Max Context:262.1K

Parameters:355.0B

Average performance across 4 common benchmarks

DeepSeek R1 Distill Qwen 7B

Average Score:65.7%

GLM-4.5

+19.6%

Average Score:85.3%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 7B

math

92.8%

general

66.2%

code

37.6%

GLM-4.5

math

+5.4%

98.2%

general

+13.1%

79.3%

code

+13.1%

50.7%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Distill Qwen 7B

0 providers

GLM-4.5

1 providers

DeepInfra

DeepSeek R1 Distill Qwen 7B

Avg Score:65.7%

Providers:0

GLM-4.5

+19.6%

Avg Score:85.3%

Providers:1