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GPT-4 vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 28.9% higher average benchmark score. o3-mini offers 234.5K more tokens in context window than GPT-4. o3-mini is $84.50 cheaper per million tokens. GPT-4 supports multimodal inputs. Overall, o3-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
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.
1 year newer
GPT-4
OpenAI
2023-06-13
o3-mini
OpenAI
2025-01-30
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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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o3-mini
Input:$1.10
Output:$4.40($84.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4
Average Score:59.6%
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o3-mini
Average Score:88.5%(+28.9%)
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Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
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-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:59.6%
Providers:2
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o3-mini
Avg Score:88.5%(+28.9%)
Providers:2