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Llama 3.1 8B Instruct vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 25.9% higher average benchmark score. o3-mini offers 37.9K more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $5.44 cheaper per million tokens. Llama 3.1 8B Instruct is available on 9 providers. Overall, o3-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
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
6 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
o3-mini
OpenAI
2025-01-30
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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($5.44 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 3.1 8B Instruct
Average Score:60.1%
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o3-mini
Average Score:86.0%(+25.9%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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:60.1%
Providers:9
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o3-mini
Avg Score:86.0%(+25.9%)
Providers:2