head-to-head

OpenAI: GPT-6.1 Sol (batch) vs OpenAI: GPT-6 Luna

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-30.

OpenAI: GPT-6.1 Sol (batch) OpenAI: GPT-6 Luna
Vendoropenaiopenai
Quality Score100100
Benchmark Score89.262.2
Input Price$1.00/M$0.10/M
Output Price$5.00/M$0.50/M
Context Window1,050,0001,050,000
Max Output128,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index85.561.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna costs $0.23 and GPT-6.1 Sol (batch) costs $2.25, so GPT-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-6.1 Sol (batch) leads 89.2 to 62.2.

Across the 20 tasks where they differ, GPT-6.1 Sol (batch) scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), GPT-6 Luna on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Pick GPT-6.1 Sol (batch) if you need benchmark performance or the stronger all-round task scores; pick GPT-6 Luna if you need lower cost.

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-6.1 Sol (batch)OpenAI: GPT-6 Luna
SQL Generation 143 141
Code Review 148 143
Code Completion 120 133
Code Refactoring 149 145
Bug Fixing 152 147
Unit Test Generation 134 131
Code Documentation 138 137
Regex Writing 127 126
CI/CD Pipelines 130 127
Frontend Component Design 132 129
Data Analysis 136 133
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 140 136
JSON Extraction 122 131
Bulk Data Labeling 120 129
OCR / Document Parsing 135 134
Table Extraction from PDFs 135 134
Long-Document Summarization 151 147
Short-Form Summarization 119 127
Blog Post Writing 131 129

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

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