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GLM-4.5V vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct offers 59.4K more tokens in context window than GLM-4.5V. Llama 3.3 70B Instruct is $2.40 cheaper per million tokens. GLM-4.5V supports multimodal inputs. Llama 3.3 70B 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 is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
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Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
8 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
GLM-4.5V
Zhipu AI
2025-08-11
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 3.3 70B Instruct
Input:$0.20
Output:$0.20($2.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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GLM-4.5V
Average Score:0.0%
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Llama 3.3 70B Instruct
Average Score:79.9%(+79.9%)
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 3.3 70B Instruct
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Llama 3.3 70B Instruct
Avg Score:79.9%(+79.9%)
Providers:9