head-to-head

OpenAI: GPT-6 Luna Pro vs Anthropic: Claude Opus 5.5 (batch)

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

OpenAI: GPT-6 Luna Pro Anthropic: Claude Opus 5.5 (batch)
Vendoropenaianthropic
Quality Score100100
Benchmark Score-100.0
Input Price$0.10/M$2.00/M
Output Price$0.50/M$10.00/M
Context Window1,050,0001,000,000
Max Output128,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-95.1

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna Pro costs $0.23 and Claude Opus 5.5 (batch) costs $4.50, so GPT-6 Luna Pro is about 20.0 times cheaper for the same work.

Both take in a similar amount of text: 1,050,000 and 1,000,000 tokens, about 1,575 and 1,500 pages.

Across the 20 tasks where they differ, GPT-6 Luna Pro scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), Claude Opus 5.5 (batch) on 16 (SQL Generation, Code Review, Code Refactoring and others).

Pick GPT-6 Luna Pro if you need lower cost; pick Claude Opus 5.5 (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 ProAnthropic: Claude Opus 5.5 (batch)
SQL Generation 133 144
Code Review 132 150
Code Completion 131 119
Code Refactoring 136 151
Bug Fixing 136 154
Unit Test Generation 124 135
Code Documentation 131 138
Regex Writing 119 127
CI/CD Pipelines 120 131
Frontend Component Design 122 133
Data Analysis 124 138
CSV / Spreadsheet Cleanup 133 136
ETL Scripting 128 141
JSON Extraction 131 121
Bulk Data Labeling 129 118
OCR / Document Parsing 131 135
Table Extraction from PDFs 131 135
Long-Document Summarization 137 152
Short-Form Summarization 123 118
Blog Post Writing 121 132

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

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