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GPT-3.5 Turbo vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 23.0% higher average benchmark score. o1-mini offers 173.1K more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $13.00 cheaper per million tokens. Overall, o1-mini is the stronger choice for coding tasks.
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OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
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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 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
o1-mini
OpenAI
2024-09-12
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Pricing Comparison
Cost per million tokens (USD)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50($13.00 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-3.5 Turbo
Average Score:56.2%
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o1-mini
Average Score:79.2%(+23.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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-3.5 Turbo
2 providers
Azure
Throughput: 90 tok/s
Latency: 0.8ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-3.5 Turbo
Avg Score:56.2%
Providers:2
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o1-mini
Avg Score:79.2%(+23.0%)
Providers:2