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Llama 3.1 405B Instruct vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 3.5% higher average benchmark score. Llama 3.1 405B Instruct offers 62.5K more tokens in context window than o1-mini. Llama 3.1 405B Instruct is $13.22 cheaper per million tokens. 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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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-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
1 month newer
Llama 3.1 405B Instruct
Meta
2024-07-23
o1-mini
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($13.22 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 3.1 405B Instruct
Average Score:75.7%
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o1-mini
Average Score:79.2%(+3.5%)
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:75.7%
Providers:8
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o1-mini
Avg Score:79.2%(+3.5%)
Providers:2