OpenAI GPT-5.4 mini VS OpenAI GPT-5.6 Luna
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 8.3% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GPT-5.4 mini is 1.3x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GPT-5.4 mini offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Luna fully justifies the cost.
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Model Specs
GPT-5.4 mini
Benchmarks & Scores
Coding (swe-bench-pro)
54.4%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
87.5%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)1.3x cheaper
$1.69Input: $0.75 | Output: $4.50Context Window
400k tokensModel Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+8.3%)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+4.8%)
92.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$2.25Input: $1.00 | Output: $6.00Context WindowLarger
1.05M tokensFrequently Asked Questions about GPT-5.4 mini vs GPT-5.6 Luna comparison
GPT-5.4 mini is cheaper than GPT-5.6 Luna. GPT-5.4 mini has a blended cost of $1.69/1M tokens, which is about 1.3x cheaper than GPT-5.6 Luna at $2.25/1M tokens.
GPT-5.6 Luna is better for coding tasks on this benchmark. It scores 62.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GPT-5.4 mini which scores 54.4%.
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