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GLM-4.5V vs Llama 3.1 Nemotron 70B 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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NVIDIA
Llama 3.1 Nemotron 70B was developed by NVIDIA through customization of Meta's Llama 3.1 70B, designed to enhance performance for specific use cases and deployments. Built with NVIDIA's optimizations and fine-tuning expertise, it demonstrates how foundation models can be adapted for specialized applications.
10 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
GLM-4.5V
Zhipu AI
2025-08-11
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Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
2023-12-01
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 Nemotron 70B Instruct
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Llama 3.1 Nemotron 70B Instruct
Avg Score:0.0%
Providers:0