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GLM-4.5V vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct offers 59.4K more tokens in context window than GLM-4.5V. Llama 3.1 405B Instruct is $1.02 cheaper per million tokens. GLM-4.5V supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 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 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
1 year newer
Llama 3.1 405B 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 405B Instruct
Input:$0.89
Output:$0.89($1.02 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 3.1 405B Instruct
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Llama 3.1 405B Instruct
Avg Score:0.0%
Providers:8