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Llama 3.1 8B Instruct vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 21.7% higher average benchmark score. Llama 3.1 8B Instruct offers 68.6K more tokens in context window than o1-mini. Llama 3.1 8B Instruct is $14.94 cheaper per million tokens. Llama 3.1 8B Instruct is available on 9 providers. Overall, o1-mini is the stronger choice for coding tasks.
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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.
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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 8B 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 8B Instruct
Input:$0.03
Output:$0.03($14.94 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 8B Instruct
Average Score:57.5%
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o1-mini
Average Score:79.2%(+21.7%)
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Knowledge Cutoff
Training data recency comparison
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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Llama 3.1 8B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2047 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 118 tok/s
Latency: 0.5ms
Fireworks
Throughput: 292 tok/s
Latency: 0.5ms
Groq
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Llama 3.1 8B Instruct
Avg Score:57.5%
Providers:9
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o1-mini
Avg Score:79.2%(+21.7%)
Providers:2