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Llama 3.1 405B Instruct vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 12.6% higher average benchmark score. Llama 3.1 405B Instruct offers 95.2K more tokens in context window than o1-preview. Llama 3.1 405B Instruct is $73.22 cheaper per million tokens. Llama 3.1 405B Instruct is available on 8 providers. Overall, o1-preview is the stronger choice for coding tasks.
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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.
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OpenAI
o1-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
1 month newer
Llama 3.1 405B Instruct
Meta
2024-07-23
o1-preview
OpenAI
2024-09-12
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89($73.22 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 3.1 405B Instruct
Average Score:70.6%
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o1-preview
Average Score:83.2%(+12.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 405B Instruct
8 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 27 tok/s
Latency: 0.5ms
Fireworks
Throughput: 78 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
Hyperbolic
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Llama 3.1 405B Instruct
Avg Score:70.6%
Providers:8
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o1-preview
Avg Score:83.2%(+12.6%)
Providers:2