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GPT-4 vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 14.7% higher average benchmark score. Llama 3.1 405B Instruct offers 190.5K more tokens in context window than GPT-4. Llama 3.1 405B Instruct is $88.22 cheaper per million tokens. GPT-4 supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct 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 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
GPT-4
OpenAI
2023-06-13
Llama 3.1 405B 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 405B Instruct
Input:$0.89
Output:$0.89($88.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GPT-4
Average Score:62.4%
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Llama 3.1 405B Instruct
Average Score:77.1%(+14.7%)
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Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
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:62.4%
Providers:2
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Llama 3.1 405B Instruct
Avg Score:77.1%(+14.7%)
Providers:8