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GLM-4.5 vs Llama 3.2 3B 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 3B Instruct. Llama 3.2 3B Instruct is $1.97 cheaper per million tokens. GLM-4.5 is available on 3 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 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
10 months newer
Llama 3.2 3B 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 3B Instruct
Input:$0.01
Output:$0.02($1.97 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 3B Instruct
Average Score:32.8%
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:79.1%(+46.3%)
Providers:3
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Llama 3.2 3B Instruct
Avg Score:32.8%
Providers:1