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GLM-4.5 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 2.2% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $1.97 cheaper per million tokens. GLM-4.5 is available on 3 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 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
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 3B Instruct
Input:$0.01
Output:$0.02($1.97 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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GLM-4.5
Average Score:32.0%(+2.2%)
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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
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Llama 3.2 3B Instruct
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GLM-4.5
Avg Score:32.0%(+2.2%)
Providers:3
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Llama 3.2 3B Instruct
Avg Score:29.8%
Providers:1