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GLM-4.5V vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct offers 59.4K more tokens in context window than GLM-4.5V. Llama 3.2 3B Instruct is $2.77 cheaper per million tokens. GLM-4.5V supports multimodal inputs. 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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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
10 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
GLM-4.5V
Zhipu AI
2025-08-11
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5V
Input:$0.60
Output:$2.20
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($2.77 cheaper)
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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Llama 3.2 3B Instruct
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Llama 3.2 3B Instruct
Avg Score:0.0%
Providers:1