+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.5V vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5V is available on 2 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Zhipu AI
GLM-4.5V was developed as a vision-language variant, designed to understand and reason about both images and text in Chinese and English. Built to extend Zhipu AI's multilingual capabilities into multimodal applications, it enables visual understanding alongside bilingual language processing.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
5 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
GLM-4.5V
Zhipu AI
2025-08-11
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GLM-4.5V
2 providers
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
Qwen2.5 VL 32B Instruct
+
+
+
+
GLM-4.5V
Avg Score:0.0%
Providers:2
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:0.0%
Providers:0