head-to-head

OpenAI: GPT-6 Luna Pro (batch) vs OpenAI: GPT-6 Sol (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-04.

OpenAI: GPT-6 Luna Pro (batch) OpenAI: GPT-6 Sol (batch)
Vendoropenaiopenai
Quality Score100100
Benchmark Score-81.4
Input Price$0.05/M$1.00/M
Output Price$0.25/M$5.00/M
Context Window1,050,0001,050,000
Max Output128,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-78.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna Pro (batch) costs $0.11 and GPT-6 Sol (batch) costs $2.25, so GPT-6 Luna Pro (batch) is about 20.0 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-6 Luna Pro (batch) scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), GPT-6 Sol (batch) on 16 (SQL Generation, Code Review, Code Refactoring and others).

Pick GPT-6 Luna Pro (batch) if you need lower cost; pick GPT-6 Sol (batch) 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-6 Luna Pro (batch)OpenAI: GPT-6 Sol (batch)
SQL Generation 134 142
Code Review 132 146
Code Completion 131 120
Code Refactoring 136 148
Bug Fixing 136 150
Unit Test Generation 124 133
Code Documentation 131 137
Regex Writing 119 126
CI/CD Pipelines 120 129
Frontend Component Design 122 131
Data Analysis 124 135
CSV / Spreadsheet Cleanup 134 136
ETL Scripting 128 139
JSON Extraction 131 122
Bulk Data Labeling 129 120
OCR / Document Parsing 131 134
Table Extraction from PDFs 131 134
Long-Document Summarization 138 150
Short-Form Summarization 123 118
Blog Post Writing 122 130

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

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