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GPT-4o mini vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 9.4% higher average benchmark score. o1-mini offers 49.2K more tokens in context window than GPT-4o mini. GPT-4o mini is $14.25 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Overall, o1-mini is the stronger choice for coding tasks.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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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
GPT-4o mini
OpenAI
2024-07-18
o1-mini
OpenAI
2024-09-12
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o mini
Input:$0.15
Output:$0.60($14.25 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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GPT-4o mini
Average Score:69.8%
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o1-mini
Average Score:79.2%(+9.4%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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o1-mini
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GPT-4o mini
Avg Score:69.8%
Providers:1
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o1-mini
Avg Score:79.2%(+9.4%)
Providers:2