OpenAI GPT-5.6 Luna VS OpenAI GPT-5.6 Sol
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Sol is the premium intelligence choice, scoring 1.9% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GPT-5.6 Luna is 5.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GPT-5.6 Luna offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Sol fully justifies the cost.
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Model Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
92.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)5.0x cheaper
$2.25Input: $1.00 | Output: $6.00Context Window
1.05M tokensModel Specs
GPT-5.6 Sol
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+1.9%)
64.6%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+2.3%)
94.6%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00Context Window
1.05M tokensFrequently Asked Questions about GPT-5.6 Luna vs GPT-5.6 Sol comparison
GPT-5.6 Luna is cheaper than GPT-5.6 Sol. GPT-5.6 Luna has a blended cost of $2.25/1M tokens, which is about 5.0x cheaper than GPT-5.6 Sol at $11.25/1M tokens.
GPT-5.6 Sol is better for coding tasks on this benchmark. It scores 64.6% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GPT-5.6 Luna which scores 62.7%.
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