Model Comparison

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

GLM-4.5V

Zhipu AI

GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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-4.5V

Zhipu AI

2025-08-11

10 months newer

Pricing Comparison

Cost per million tokens (USD)

GLM-4.5V

Input:$0.60
Output:$2.20
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

$2.62 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

GLM-4.5V

Max Context:196.6K
Parameters:108.0B
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 15 common benchmarks

GLM-4.5V

Average Score:0.0%
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

+64.9%
Average Score:64.9%

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
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-4.5V

Avg Score:0.0%
Providers:2
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

+64.9%
Avg Score:64.9%
Providers:4