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GLM-4.6 vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 11B Instruct leads with 16.0% higher average benchmark score. Llama 3.2 11B Instruct offers 59.4K more tokens in context window than GLM-4.6. Llama 3.2 11B Instruct is $2.50 cheaper per million tokens. Llama 3.2 11B Instruct is available on 6 providers. Overall, Llama 3.2 11B Instruct is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). 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 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
1 year newer
Llama 3.2 11B Instruct
Meta
2024-09-25
GLM-4.6
Zhipu AI
2025-09-30
Pricing Comparison
Cost per million tokens (USD)
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GLM-4.6
Input:$0.60
Output:$2.00
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Llama 3.2 11B Instruct
Input:$0.05
Output:$0.05($2.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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GLM-4.6
Average Score:25.2%
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Llama 3.2 11B Instruct
Average Score:41.2%(+16.0%)
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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-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Llama 3.2 11B Instruct
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GLM-4.6
Avg Score:25.2%
Providers:2
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Llama 3.2 11B Instruct
Avg Score:41.2%(+16.0%)
Providers:6