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GPT-5 mini vs o3-mini
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 9.0% higher average benchmark score. GPT-5 mini offers 228.0K more tokens in context window than o3-mini. GPT-5 mini is $3.25 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Overall, GPT-5 mini is the stronger choice for coding tasks.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
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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
o3-mini
OpenAI
2025-01-30
GPT-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 mini
Input:$0.25
Output:$2.00($3.25 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-5 mini
Average Score:52.2%(+9.0%)
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o3-mini
Average Score:43.2%
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
GPT-5 mini
2024-05-30
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-5 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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GPT-5 mini
Avg Score:52.2%(+9.0%)
Providers:2
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o3-mini
Avg Score:43.2%
Providers:2