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GLM-4.5V vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 8B Instruct offers 65.5K more tokens in context window than GLM-4.5V. Llama 3.1 8B Instruct is $2.74 cheaper per million tokens. GLM-4.5V supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 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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Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
1 year newer
Llama 3.1 8B Instruct
Meta
2024-07-23
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 3.1 8B Instruct
Input:$0.03
Output:$0.03($2.74 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
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 3.1 8B Instruct
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Llama 3.1 8B Instruct
Avg Score:0.0%
Providers:9