head-to-head

OpenAI: GPT-6 Luna (batch) vs SpaceXAI: Grok 4.7

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

OpenAI: GPT-6 Luna (batch) SpaceXAI: Grok 4.7
Vendoropenaix-ai
Quality Score100100
Benchmark Score63.879.2
Input Price$0.05/M$2.00/M
Output Price$0.25/M$6.00/M
Context Window1,050,000500,000
Max Output128,000450,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index62.976.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna (batch) costs $0.11 and Grok 4.7 costs $3.50, so GPT-6 Luna (batch) is about 31.1 times cheaper for the same work.

GPT-6 Luna (batch) reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 750 pages for Grok 4.7.

On our blended benchmark score Grok 4.7 leads 79.2 to 63.8.

Across the 20 tasks where they differ, GPT-6 Luna (batch) scores higher on 7 (Code Completion, Code Documentation, Regex Writing and others), Grok 4.7 on 13 (SQL Generation, Code Review, Code Refactoring and others).

Pick GPT-6 Luna (batch) if you need lower cost or long documents; pick Grok 4.7 if you need benchmark performance.

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 (batch)SpaceXAI: Grok 4.7
SQL Generation 141 142
Code Review 144 146
Code Completion 133 119
Code Refactoring 146 148
Bug Fixing 148 150
Unit Test Generation 131 133
Code Documentation 137 137
Regex Writing 126 126
CI/CD Pipelines 127 129
Frontend Component Design 129 131
Data Analysis 133 135
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 136 138
JSON Extraction 131 122
Bulk Data Labeling 129 119
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Long-Document Summarization 148 149
Short-Form Summarization 127 118
Blog Post Writing 129 130

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

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