OpenAI GPT-5.6 Luna VS OpenAI GPT-5.6 Terra
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Terra is the premium intelligence choice, scoring 0.7% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GPT-5.6 Luna is 2.5x 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 Terra fully justifies the cost.
Was this recommendation helpful?
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)2.5x cheaper
$2.25Input: $1.00 | Output: $6.00Context Window
1.05M tokensModel Specs
GPT-5.6 Terra
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+0.7%)
63.4%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+0.6%)
92.9%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$5.63Input: $2.50 | Output: $15.00Context Window
1.05M tokensFrequently Asked Questions about GPT-5.6 Luna vs GPT-5.6 Terra comparison
GPT-5.6 Luna is cheaper than GPT-5.6 Terra. GPT-5.6 Luna has a blended cost of $2.25/1M tokens, which is about 2.5x cheaper than GPT-5.6 Terra at $5.63/1M tokens.
GPT-5.6 Terra is better for coding tasks on this benchmark. It scores 63.4% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GPT-5.6 Luna which scores 62.7%.
Related Matchups
Explore similar comparisons for GPT-5.6 Luna and GPT-5.6 Terra.