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GLM-4.5 vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 46.3% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Llama 3.2 11B Instruct. Llama 3.2 11B Instruct is $1.90 cheaper per million tokens. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.5 was developed by Zhipu AI as an advanced bilingual language model, designed to excel at both Chinese and English language tasks. Built to serve diverse applications across multiple languages, it represents Zhipu AI's commitment to multilingual AI capabilities.
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Meta
Llama 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
10 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
GLM-4.5
Zhipu AI
2025-07-28
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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 11B Instruct
Input:$0.05
Output:$0.05($1.90 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GLM-4.5
Average Score:79.1%(+46.3%)
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Llama 3.2 11B Instruct
Average Score:32.8%
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B 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-4.5
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Llama 3.2 11B Instruct
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GLM-4.5
Avg Score:79.1%(+46.3%)
Providers:3
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Llama 3.2 11B Instruct
Avg Score:32.8%
Providers:6