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GPT-4.1 mini vs GPT-5 mini
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 33.5% higher average benchmark score. GPT-4.1 mini offers 552.3K more tokens in context window than GPT-5 mini. Both models have similar pricing. Overall, GPT-5 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
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.
3 months newer
GPT-4.1 mini
OpenAI
2025-04-14
GPT-5 mini
OpenAI
2025-08-07
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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($0.25 cheaper)
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GPT-5 mini
Input:$0.25
Output:$2.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4.1 mini
Average Score:36.0%
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GPT-5 mini
Average Score:69.5%(+33.5%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
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:36.0%
Providers:2
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GPT-5 mini
Avg Score:69.5%(+33.5%)
Providers:2