head-to-head

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

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-02.

OpenAI: GPT-5.6 Luna Pro OpenAI: GPT-5.6 Sol
Vendoropenaiopenai
Quality Score100100
Benchmark Score-80.2
Input Price$0.20/M$2.00/M
Output Price$1.20/M$10.00/M
Context Window1,050,0001,050,000
Max Output128,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-77.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna Pro costs $0.50 and GPT-5.6 Sol costs $4.50, so GPT-5.6 Luna Pro is about 9.0 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 Pro scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), GPT-5.6 Sol on 16 (SQL Generation, Code Review, Code Refactoring and others).

Pick GPT-5.6 Luna Pro if you need lower cost; pick GPT-5.6 Sol 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.

Who wins by task?

TaskOpenAI: GPT-5.6 Luna ProOpenAI: GPT-5.6 Sol
SQL Generation 133 142
Code Review 132 146
Code Completion 131 119
Code Refactoring 136 148
Bug Fixing 136 150
Unit Test Generation 124 133
Code Documentation 131 136
Regex Writing 119 125
CI/CD Pipelines 120 129
Frontend Component Design 122 131
Data Analysis 124 135
CSV / Spreadsheet Cleanup 133 135
ETL Scripting 128 138
JSON Extraction 131 121
Bulk Data Labeling 129 118
OCR / Document Parsing 131 134
Table Extraction from PDFs 131 134
Long-Document Summarization 137 149
Short-Form Summarization 123 117
Blog Post Writing 121 130

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

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