head-to-head

OpenAI: GPT-5.6 Luna Pro vs OpenAI: GPT-5.6 Luna

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-09.

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, both cost $0.50 at current list prices.

Both read up to 1,050,000 tokens at once, roughly 1,575 pages of text.

Across the 18 tasks where they differ, GPT-5.6 Luna on 18 (SQL Generation, Code Review, Code Completion and others).

Pick GPT-5.6 Luna if you need the stronger all-round task scores.

Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.

Task	OpenAI: GPT-5.6 Luna Pro	OpenAI: GPT-5.6 Luna
SQL Generation	133	141
Code Review	132	143
Code Completion	131	133
Code Refactoring	136	145
Bug Fixing	136	147
Unit Test Generation	124	131
Code Documentation	131	137
Regex Writing	119	125
CI/CD Pipelines	120	127
Frontend Component Design	122	129
Data Analysis	124	133
CSV / Spreadsheet Cleanup	133	136
ETL Scripting	128	136
OCR / Document Parsing	131	134
Table Extraction from PDFs	131	134
Long-Document Summarization	137	147
Short-Form Summarization	123	126
Blog Post Writing	121	129

Scores reflect capability match + benchmark data + pricing for each task. Methodology →