OpenAI GPT-5.4 nano VS OpenAI GPT-5.6 Luna
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 10.3% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GPT-5.4 nano is 4.9x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GPT-5.4 nano 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.
Was this recommendation helpful?
Model Specs
GPT-5.4 nano
Benchmarks & Scores
Coding (swe-bench-pro)
52.4%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
82.8%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)4.9x cheaper
$0.46Input: $0.20 | Output: $1.25Context Window
400k tokensModel Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+10.3%)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+9.5%)
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 nano vs GPT-5.6 Luna comparison
GPT-5.4 nano is cheaper than GPT-5.6 Luna. GPT-5.4 nano has a blended cost of $0.46/1M tokens, which is about 4.9x 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 nano which scores 52.4%.
Related Matchups
Explore similar comparisons for GPT-5.4 nano and GPT-5.6 Luna.