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GPT-4.1 mini vs GPT-5.2
Comprehensive side-by-side LLM comparison
GPT-5.2 leads with 29.0% higher average benchmark score. Overall, GPT-5.2 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
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OpenAI
GPT-5.2, released by OpenAI on December 11, 2025, is a large language model from the GPT-5 family that improves on GPT-5 in general intelligence, long-context understanding, agentic tool-calling, and vision. It features a 400K token context window, 128K maximum output tokens, and a knowledge cutoff of August 2025. GPT-5.2 targets long-context coding tasks, extended document analysis, and complex agentic workflows requiring reliable instruction following.
8 months newer
GPT-4.1 mini
OpenAI
2025-04-14
GPT-5.2
OpenAI
2025-12-11
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4.1 mini
Average Score:64.2%
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GPT-5.2
Average Score:93.2%(+29.0%)
Performance comparison across key benchmark categories
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GPT-4.1 mini
Science64.2%
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GPT-5.2
Science93.2%(+29.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-5.2
2025-08
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
1 providers
OpenAI
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GPT-5.2
0 providers
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GPT-4.1 mini
Avg Score:64.2%
Providers:1
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GPT-5.2
Avg Score:93.2%(+29.0%)
Providers:0