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GPT-4o vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
GPT-4o leads with 2.9% higher average benchmark score. Llama 3.1 405B Instruct offers 111.6K more tokens in context window than GPT-4o. Llama 3.1 405B Instruct is $10.72 cheaper per million tokens. GPT-4o supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
This updated version of GPT-4o was released with refinements to its multimodal capabilities and improved performance across text, vision, and audio tasks. Built to incorporate learnings from the initial GPT-4o deployment, it enhanced reliability and accuracy while maintaining the seamless cross-modal reasoning that defines the GPT-4o family.
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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.
14 days newer
Llama 3.1 405B Instruct
Meta
2024-07-23
GPT-4o
OpenAI
2024-08-06
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o
Input:$2.50
Output:$10.00
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89($10.72 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4o
Average Score:77.9%(+2.9%)
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Llama 3.1 405B Instruct
Average Score:75.0%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o
2 providers
Azure
Throughput: 99 tok/s
Latency: 0.53ms
OpenAI
Throughput: 132 tok/s
Latency: 0.5ms
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GPT-4o
Avg Score:77.9%(+2.9%)
Providers:2
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Llama 3.1 405B Instruct
Avg Score:75.0%
Providers:8