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GPT-4 vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 16.2% higher average benchmark score. o1-mini offers 128.0K more tokens in context window than GPT-4. o1-mini is $75.00 cheaper per million tokens. GPT-4 supports multimodal inputs. Overall, o1-mini is the stronger choice for coding tasks.
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OpenAI
GPT-4 was created as a large multimodal model capable of accepting image and text inputs while producing text outputs. Developed to exhibit human-level performance on various professional and academic benchmarks, it marked a significant advancement in reliability, creativity, and handling of nuanced instructions compared to its predecessors.
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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-4
OpenAI
2023-06-13
o1-mini
OpenAI
2024-09-12
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4
Input:$30.00
Output:$60.00
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o1-mini
Input:$3.00
Output:$12.00($75.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4
Average Score:63.0%
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o1-mini
Average Score:79.2%(+16.2%)
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Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
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
2 providers
Azure
Throughput: 104 tok/s
Latency: 0.3ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4
Avg Score:63.0%
Providers:2
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o1-mini
Avg Score:79.2%(+16.2%)
Providers:2