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GPT-4.1 mini vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 8.0% higher average benchmark score. GPT-4.1 mini offers 780.3K more tokens in context window than o3-mini. GPT-4.1 mini is $3.50 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, o3-mini is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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.
2 months newer
o3-mini
OpenAI
2025-01-30
GPT-4.1 mini
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 mini
Input:$0.40
Output:$1.60($3.50 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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GPT-4.1 mini
Average Score:51.7%
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o3-mini
Average Score:59.8%(+8.0%)
Performance comparison across key benchmark categories
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GPT-4.1 mini
Coding23.6%
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o3-mini
Coding49.3%(+25.7%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
GPT-4.1 mini
2024-05-31
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-4.1 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:51.7%
Providers:2
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o3-mini
Avg Score:59.8%(+8.0%)
Providers:2