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GLM-4.5 vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 1.2% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $1.25 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. 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 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 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 2024, it represents Meta's latest advancement in AI technology.
10 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
GLM-4.5
Zhipu AI
2025-07-28
Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5
Input:$0.40
Output:$1.60
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40($1.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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GLM-4.5
Average Score:34.4%
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Llama 3.2 90B Instruct
Average Score:35.6%(+1.2%)
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Llama 3.2 90B Instruct
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GLM-4.5
Avg Score:34.4%
Providers:3
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Llama 3.2 90B Instruct
Avg Score:35.6%(+1.2%)
Providers:5