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GLM-4.5V vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5V supports multimodal inputs. GLM-4.5V is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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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.
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Alibaba Cloud / Qwen Team
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
10 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GLM-4.5V
Zhipu AI
2025-08-11
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Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5V
2 providers
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Qwen2.5 14B Instruct
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Qwen2.5 14B Instruct
Avg Score:0.0%
Providers:0