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GPT-4o mini vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 23.0% higher average benchmark score. o3-mini offers 155.6K more tokens in context window than GPT-4o mini. GPT-4o mini is $4.75 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Overall, o3-mini is the stronger choice for coding tasks.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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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.
6 months newer
GPT-4o mini
OpenAI
2024-07-18
o3-mini
OpenAI
2025-01-30
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o mini
Input:$0.15
Output:$0.60($4.75 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GPT-4o mini
Average Score:57.6%
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o3-mini
Average Score:80.7%(+23.0%)
Performance comparison across key benchmark categories
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GPT-4o mini
Coding8.7%
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o3-mini
Coding49.3%(+40.6%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
GPT-4o mini
2023-10-01
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 mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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o3-mini
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GPT-4o mini
Avg Score:57.6%
Providers:1
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o3-mini
Avg Score:80.7%(+23.0%)
Providers:2