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Llama 3.3 70B Instruct vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 4.2% higher average benchmark score. Llama 3.3 70B Instruct offers 62.5K more tokens in context window than o1-mini. Llama 3.3 70B Instruct is $14.60 cheaper per million tokens. Llama 3.3 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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Meta
Llama 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
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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.
2 months newer
o1-mini
OpenAI
2024-09-12
Llama 3.3 70B Instruct
Meta
2024-12-06
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.3 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 3.3 70B Instruct
Average Score:75.0%
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o1-mini
Average Score:79.2%(+4.2%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.3 70B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2220 tok/s
Latency: 0.65ms
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
Fireworks
Throughput: 197 tok/s
Latency: 0.65ms
Groq
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Llama 3.3 70B Instruct
Avg Score:75.0%
Providers:9
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o1-mini
Avg Score:79.2%(+4.2%)
Providers:2