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GPT-4o vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 9.6% higher average benchmark score. o3-mini offers 155.6K more tokens in context window than GPT-4o. o3-mini is $7.00 cheaper per million tokens. GPT-4o supports multimodal inputs. Overall, o3-mini is the stronger choice for coding tasks.
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OpenAI
This updated version of GPT-4o was released with refinements to its multimodal capabilities and improved performance across text, vision, and audio tasks. Built to incorporate learnings from the initial GPT-4o deployment, it enhanced reliability and accuracy while maintaining the seamless cross-modal reasoning that defines the GPT-4o family.
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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.
5 months newer
GPT-4o
OpenAI
2024-08-06
o3-mini
OpenAI
2025-01-30
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o
Input:$2.50
Output:$10.00
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o3-mini
Input:$1.10
Output:$4.40($7.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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GPT-4o
Average Score:44.2%
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o3-mini
Average Score:53.8%(+9.6%)
Performance comparison across key benchmark categories
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GPT-4o
Coding33.2%
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o3-mini
Coding49.3%(+16.1%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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-4o
2 providers
Azure
Throughput: 99 tok/s
Latency: 0.53ms
OpenAI
Throughput: 132 tok/s
Latency: 0.5ms
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GPT-4o
Avg Score:44.2%
Providers:2
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o3-mini
Avg Score:53.8%(+9.6%)
Providers:2