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GLM-4.5-Air vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). 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 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
10 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
GLM-4.5-Air
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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GLM-4.5-Air
Average Score:30.4%(+0.6%)
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Llama 3.2 3B Instruct
Average Score:29.8%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5-Air
0 providers
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
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GLM-4.5-Air
Avg Score:30.4%(+0.6%)
Providers:0
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Llama 3.2 3B Instruct
Avg Score:29.8%
Providers:1