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Llama 3.1 8B Instruct vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 28.5% higher average benchmark score. o1 offers 37.9K more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $74.94 cheaper per million tokens. Llama 3.1 8B Instruct is available on 9 providers. Overall, o1 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 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
4 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
o1
OpenAI
2024-12-17
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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($74.94 cheaper)
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o1
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 8B Instruct
Average Score:57.5%
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o1
Average Score:86.0%(+28.5%)
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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
Avg Score:86.0%(+28.5%)
Providers:2