head-to-head

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

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

OpenAI: GPT-6.1 Sol (batch) OpenAI: GPT Luna Latest
Vendoropenai~openai
Quality Score100100
Benchmark Score89.2-
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_index85.5-

The verdict

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

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 Luna Latest on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Pick GPT-6.1 Sol (batch) if you need the stronger all-round task scores; pick GPT Luna Latest 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 Luna Latest
SQL Generation 143 133
Code Review 148 132
Code Completion 120 131
Code Refactoring 149 136
Bug Fixing 152 136
Unit Test Generation 134 124
Code Documentation 138 131
Regex Writing 127 119
CI/CD Pipelines 130 120
Frontend Component Design 132 122
Data Analysis 136 124
CSV / Spreadsheet Cleanup 136 133
ETL Scripting 140 128
JSON Extraction 122 131
Bulk Data Labeling 120 129
OCR / Document Parsing 135 131
Table Extraction from PDFs 135 131
Long-Document Summarization 151 137
Short-Form Summarization 119 123
Blog Post Writing 131 121

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

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