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GPT-4 Turbo vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 14.6% higher average benchmark score. o3-mini offers 167.9K more tokens in context window than GPT-4 Turbo. o3-mini is $34.50 cheaper per million tokens. Overall, o3-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
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
9 months newer
GPT-4 Turbo
OpenAI
2024-04-09
o3-mini
OpenAI
2025-01-30
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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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o3-mini
Input:$1.10
Output:$4.40($34.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4 Turbo
Average Score:73.9%
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o3-mini
Average Score:88.5%(+14.6%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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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o3-mini
Avg Score:88.5%(+14.6%)
Providers:2