+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-4.1 nano vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 28.5% higher average benchmark score. GPT-4.1 nano offers 780.3K more tokens in context window than o3-mini. GPT-4.1 nano is $5.00 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, o3-mini is the stronger choice for coding tasks.
+
+
+
+
OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
+
+
+
+
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.
2 months newer
o3-mini
OpenAI
2025-01-30
GPT-4.1 nano
OpenAI
2025-04-14
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GPT-4.1 nano
Input:$0.10
Output:$0.40($5.00 cheaper)
+
+
+
+
o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
+
+
+
+
GPT-4.1 nano
Average Score:31.8%
+
+
+
+
o3-mini
Average Score:60.4%(+28.5%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
GPT-4.1 nano
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
+
+
+
+
o3-mini
+
+
+
+
GPT-4.1 nano
Avg Score:31.8%
Providers:1
+
+
+
+
o3-mini
Avg Score:60.4%(+28.5%)
Providers:2