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GLM-4.5 vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 22.1% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Llama 3.3 70B Instruct. Llama 3.3 70B Instruct is $1.60 cheaper per million tokens. Llama 3.3 70B Instruct is available on 9 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 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
7 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
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 3.3 70B Instruct
Input:$0.20
Output:$0.20($1.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GLM-4.5
Average Score:81.8%(+22.1%)
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Llama 3.3 70B Instruct
Average Score:59.7%
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 3.3 70B Instruct
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GLM-4.5
Avg Score:81.8%(+22.1%)
Providers:3
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Llama 3.3 70B Instruct
Avg Score:59.7%
Providers:9