OpenAI: GPT-6 Luna (batch) vs SpaceXAI: Grok 4.7
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-6 Luna (batch) | SpaceXAI: Grok 4.7 | |
|---|---|---|
| Vendor | openai | x-ai |
| Quality Score | 100 | 100 |
| Input Price | $0.05/M | $2.00/M |
| Output Price | $0.25/M | $6.00/M |
| Context Window | 1,050,000 | 500,000 |
| Max Output | 128,000 | 450,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
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.
Across the 10 tasks where they differ, GPT-6 Luna (batch) scores higher on 10 (SQL Generation, Code Completion, Code Documentation and others).
Pick GPT-6 Luna (batch) if you need lower cost, long documents or 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?
| Task | OpenAI: GPT-6 Luna (batch) | SpaceXAI: Grok 4.7 |
|---|---|---|
| SQL Generation | 134 | 133 |
| Code Completion | 131 | 118 |
| Code Documentation | 131 | 130 |
| Regex Writing | 119 | 118 |
| CSV / Spreadsheet Cleanup | 134 | 133 |
| JSON Extraction | 131 | 122 |
| Bulk Data Labeling | 129 | 119 |
| Long-Document Summarization | 138 | 137 |
| Short-Form Summarization | 123 | 114 |
| Blog Post Writing | 122 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →