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GPT-4.1 mini vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 50.9% higher average benchmark score. GPT-4.1 mini supports multimodal inputs. GPT-4.1 mini is available on 2 providers. Overall, GPT-5 Codex 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 Codex was developed as a specialized variant of GPT-5 optimized for programming and software development tasks. Built to understand and generate code across multiple programming languages, it serves developers with enhanced capabilities for code completion, debugging, translation, and explanation of complex codebases.
5 months newer
GPT-4.1 mini
OpenAI
2025-04-14
GPT-5 Codex
OpenAI
2025-09-15
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4.1 mini
Average Score:23.6%
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GPT-5 Codex
Average Score:74.5%(+50.9%)
Performance comparison across key benchmark categories
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GPT-4.1 mini
Coding23.6%
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GPT-5 Codex
Coding74.5%(+50.9%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
GPT-5 Codex
2024-09-30
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-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:23.6%
Providers:2
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GPT-5 Codex
Avg Score:74.5%(+50.9%)
Providers:0