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Llama 3.1 70B Instruct vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 10.6% higher average benchmark score. Llama 3.1 70B Instruct offers 62.5K more tokens in context window than o1-mini. Llama 3.1 70B Instruct is $14.60 cheaper per million tokens. Llama 3.1 70B Instruct is available on 9 providers. Overall, o1-mini is the stronger choice for coding tasks.
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Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
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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 70B 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 70B Instruct
Input:$0.20
Output:$0.20($14.60 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 70B Instruct
Average Score:68.6%
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o1-mini
Average Score:79.2%(+10.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 70B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 1204 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 25 tok/s
Latency: 0.5ms
Fireworks
Throughput: 32 tok/s
Latency: 0.5ms
Groq
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Llama 3.1 70B Instruct
Avg Score:68.6%
Providers:9
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o1-mini
Avg Score:79.2%(+10.6%)
Providers:2