head-to-head

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

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-29.

Anthropic: Claude Sonnet 5.5 OpenAI: GPT-6 Luna Pro (batch)
Vendoranthropicopenai
Quality Score100100
Benchmark Score97.0-
Input Price$2.00/M$0.05/M
Output Price$10.00/M$0.25/M
Context Window1,000,0001,050,000
Max Output128,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index92.4-

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 Claude Sonnet 5.5 costs $4.50, so GPT-6 Luna Pro (batch) is about 40.0 times cheaper for the same work.

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

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

Pick Claude Sonnet 5.5 if you need the stronger all-round task scores; pick GPT-6 Luna Pro (batch) 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?

TaskAnthropic: Claude Sonnet 5.5OpenAI: GPT-6 Luna Pro (batch)
SQL Generation 143 134
Code Review 149 132
Code Completion 119 131
Code Refactoring 150 136
Bug Fixing 153 136
Unit Test Generation 135 124
Code Documentation 137 131
Regex Writing 126 119
CI/CD Pipelines 131 120
Frontend Component Design 133 122
Data Analysis 137 124
CSV / Spreadsheet Cleanup 136 134
ETL Scripting 140 128
JSON Extraction 121 131
Bulk Data Labeling 118 129
OCR / Document Parsing 135 131
Table Extraction from PDFs 135 131
Long-Document Summarization 151 138
Short-Form Summarization 118 123
Blog Post Writing 131 122

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

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