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GLM-4.6 vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 50.6% higher average benchmark score. Llama 3.1 8B Instruct offers 65.5K more tokens in context window than GLM-4.6. Llama 3.1 8B Instruct is $2.54 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 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 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
1 year newer
Llama 3.1 8B 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 8B Instruct
Input:$0.03
Output:$0.03($2.54 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%(+50.6%)
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Llama 3.1 8B Instruct
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
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 8B Instruct
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GLM-4.6
Avg Score:81.0%(+50.6%)
Providers:2
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Llama 3.1 8B Instruct
Avg Score:30.4%
Providers:9