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GLM-4.6 vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 30.3% higher average benchmark score. Llama 3.1 405B Instruct offers 59.4K more tokens in context window than GLM-4.6. Llama 3.1 405B Instruct is $0.82 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, GLM-4.6 is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.6 was introduced as an enhanced iteration of the GLM-4 series, designed to provide improved capabilities in bilingual language understanding and generation. Built to incorporate refinements to the GLM architecture, it represents continued advancement in Zhipu AI's model development.
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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-4.6
Zhipu AI
2025-09-30
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.6
Input:$0.60
Output:$2.00
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89($0.82 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GLM-4.6
Average Score:81.0%(+30.3%)
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Llama 3.1 405B Instruct
Average Score:50.7%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Llama 3.1 405B Instruct
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GLM-4.6
Avg Score:81.0%(+30.3%)
Providers:2
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Llama 3.1 405B Instruct
Avg Score:50.7%
Providers:8