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Model Comparison

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

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.

Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. 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.

Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Alibaba Cloud / Qwen Team

2024-09-19

GLM-4.5-Air

Zhipu AI

2025-07-28

10 months newer

Performance Metrics

Context window and performance specifications

GLM-4.5-Air

Max Context:-
Parameters:106.0B
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 2 common benchmarks

GLM-4.5-Air

+35.1%
Average Score:76.0%
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Average Score:40.9%

Performance comparison across key benchmark categories

GLM-4.5-Air

math
+23.9%
98.1%
reasoning
37.7%
general
+19.8%
76.0%
code
46.0%
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

math
74.2%
reasoning
+40.4%
78.1%
general
56.2%
code
+12.2%
58.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5-Air

0 providers
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

GLM-4.5-Air

+35.1%
Avg Score:76.0%
Providers:0
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Avg Score:40.9%
Providers:4