+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.5 vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 19.8% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Llama 3.1 405B Instruct. Both models have similar pricing. Llama 3.1 405B Instruct is available on 8 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
1 year newer
Llama 3.1 405B Instruct
Meta
2024-07-23
GLM-4.5
Zhipu AI
2025-07-28
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GLM-4.5
Input:$0.40
Output:$1.60
+
+
+
+
Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89($0.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
GLM-4.5
Average Score:81.8%(+19.8%)
+
+
+
+
Llama 3.1 405B Instruct
Average Score:62.0%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GLM-4.5
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
Llama 3.1 405B Instruct
+
+
+
+
GLM-4.5
Avg Score:81.8%(+19.8%)
Providers:3
+
+
+
+
Llama 3.1 405B Instruct
Avg Score:62.0%
Providers:8