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GPT-4 Turbo vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 5.3% higher average benchmark score. o1-mini offers 61.4K more tokens in context window than GPT-4 Turbo. o1-mini is $25.00 cheaper per million tokens. Overall, o1-mini is the stronger choice for coding tasks.
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OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
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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.
5 months newer
GPT-4 Turbo
OpenAI
2024-04-09
o1-mini
OpenAI
2024-09-12
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4 Turbo
Input:$10.00
Output:$30.00
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o1-mini
Input:$3.00
Output:$12.00($25.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4 Turbo
Average Score:73.9%
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o1-mini
Average Score:79.2%(+5.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
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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GPT-4 Turbo
2 providers
Azure
Throughput: 97 tok/s
Latency: 0.6ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4 Turbo
Avg Score:73.9%
Providers:2
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o1-mini
Avg Score:79.2%(+5.3%)
Providers:2