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GLM-4.5 vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 8.4% 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 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 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
7 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
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 3.3 70B Instruct
Input:$0.20
Output:$0.20($1.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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GLM-4.5
Average Score:42.6%(+8.4%)
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Llama 3.3 70B Instruct
Average Score:34.2%
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:42.6%(+8.4%)
Providers:3
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Llama 3.3 70B Instruct
Avg Score:34.2%
Providers:9