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GPT-5 nano vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 2.8% higher average benchmark score. GPT-5 nano offers 228.0K more tokens in context window than o3-mini. GPT-5 nano is $5.05 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
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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 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 nano
Input:$0.05
Output:$0.40($5.05 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 nano
Average Score:40.4%
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o3-mini
Average Score:43.2%(+2.8%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
GPT-5 nano
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 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
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GPT-5 nano
Avg Score:40.4%
Providers:2
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o3-mini
Avg Score:43.2%(+2.8%)
Providers:2