head-to-head

OpenAI: GPT-5.6 Luna vs OpenAI: GPT-5.6 Terra Pro (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

OpenAI: GPT-5.6 Luna OpenAI: GPT-5.6 Terra Pro (batch)
Vendoropenaiopenai
Quality Score100100
Benchmark Score89.4-
Input Price$0.20/M$1.00/M
Output Price$1.20/M$6.00/M
Context Window1,050,0001,050,000
Max Output128,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index84.5-
ai_index_agentic75.2-
ai_index_coding100.0-

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 Pro (batch) costs $2.50, so GPT-5.6 Luna is about 5.0 times cheaper for the same work.

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

Across the 20 tasks where they differ, GPT-5.6 Luna scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Pick GPT-5.6 Luna if you need lower cost or 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.

Who wins by task?

TaskOpenAI: GPT-5.6 LunaOpenAI: GPT-5.6 Terra Pro (batch)
SQL Generation 171 133
Code Review 166 132
Code Completion 133 118
Code Refactoring 163 136
Bug Fixing 179 136
Unit Test Generation 154 124
Code Documentation 143 130
Regex Writing 136 118
CI/CD Pipelines 144 120
Frontend Component Design 146 122
Data Analysis 170 124
CSV / Spreadsheet Cleanup 154 133
ETL Scripting 154 128
JSON Extraction 149 122
Bulk Data Labeling 135 119
OCR / Document Parsing 146 131
Table Extraction from PDFs 146 131
Long-Document Summarization 159 137
Short-Form Summarization 132 114
Blog Post Writing 140 121

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

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