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GPT-4 vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
GPT-4 leads with 9.5% higher average benchmark score. Llama 3.1 8B Instruct offers 196.6K more tokens in context window than GPT-4. Llama 3.1 8B Instruct is $89.94 cheaper per million tokens. GPT-4 supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, GPT-4 is the stronger choice for coding tasks.
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OpenAI
GPT-4 was created as a large multimodal model capable of accepting image and text inputs while producing text outputs. Developed to exhibit human-level performance on various professional and academic benchmarks, it marked a significant advancement in reliability, creativity, and handling of nuanced instructions compared to its predecessors.
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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
GPT-4
OpenAI
2023-06-13
Llama 3.1 8B Instruct
Meta
2024-07-23
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4
Input:$30.00
Output:$60.00
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Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($89.94 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4
Average Score:67.5%(+9.5%)
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Llama 3.1 8B Instruct
Average Score:58.0%
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Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
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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GPT-4
2 providers
Azure
Throughput: 104 tok/s
Latency: 0.3ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4
Avg Score:67.5%(+9.5%)
Providers:2
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Llama 3.1 8B Instruct
Avg Score:58.0%
Providers:9