head-to-head

OpenAI: GPT-5.6 Luna vs OpenAI: GPT-5.6 Terra

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

OpenAI: GPT-5.6 Luna OpenAI: GPT-5.6 Terra
Vendoropenaiopenai
Quality Score100100
Benchmark Score62.371.1
Input Price$0.20/M$2.00/M
Output Price$1.20/M$12.00/M
Context Window1,050,0001,050,000
Max Output128,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index61.669.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna costs $0.50 and GPT-5.6 Terra costs $5.00, so GPT-5.6 Luna is about 10.0 times cheaper for the same work.

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

On our blended benchmark score GPT-5.6 Terra leads 71.1 to 62.3.

Across the 19 tasks where they differ, GPT-5.6 Luna scores higher on 9 (SQL Generation, Code Completion, Code Documentation and others), GPT-5.6 Terra on 10 (Code Review, Code Refactoring, Bug Fixing and others).

Pick GPT-5.6 Luna if you need lower cost; pick GPT-5.6 Terra if you need benchmark performance.

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

Who wins by task?

TaskOpenAI: GPT-5.6 LunaOpenAI: GPT-5.6 Terra
SQL Generation 141 140
Code Review 143 145
Code Completion 133 118
Code Refactoring 145 147
Bug Fixing 147 149
Unit Test Generation 131 132
Code Documentation 137 135
Regex Writing 125 124
CI/CD Pipelines 127 128
Frontend Component Design 129 130
Data Analysis 133 134
CSV / Spreadsheet Cleanup 136 135
ETL Scripting 136 137
JSON Extraction 131 121
Bulk Data Labeling 129 117
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Short-Form Summarization 126 116
Blog Post Writing 129 128

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

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