SpaceXAI: Grok 4.7 vs Sakana: Fugu Max
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-13.
| SpaceXAI: Grok 4.7 | Sakana: Fugu Max | |
|---|---|---|
| Vendor | x-ai | sakana |
| Quality Score | 100 | 100 |
| Benchmark Score | 79.2 | - |
| Input Price | $2.00/M | $2.00/M |
| Output Price | $6.00/M | $6.00/M |
| Context Window | 500,000 | 1,000,000 |
| Max Output | 450,000 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 76.6 | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, both cost $3.50 at current list prices.
Fugu Max reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 750 pages for Grok 4.7.
Across the 18 tasks where they differ, Grok 4.7 scores higher on 18 (SQL Generation, Code Review, Code Completion and others).
Pick Grok 4.7 if you need the stronger all-round task scores; pick Fugu Max if you need long documents.
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 | SpaceXAI: Grok 4.7 | Sakana: Fugu Max |
|---|---|---|
| SQL Generation | 142 | 133 |
| Code Review | 146 | 132 |
| Code Completion | 119 | 118 |
| Code Refactoring | 148 | 136 |
| Bug Fixing | 150 | 136 |
| Unit Test Generation | 133 | 124 |
| Code Documentation | 137 | 130 |
| Regex Writing | 126 | 118 |
| CI/CD Pipelines | 129 | 120 |
| Frontend Component Design | 131 | 122 |
| Data Analysis | 135 | 124 |
| CSV / Spreadsheet Cleanup | 136 | 133 |
| ETL Scripting | 138 | 128 |
| OCR / Document Parsing | 134 | 131 |
| Table Extraction from PDFs | 134 | 131 |
| Long-Document Summarization | 149 | 137 |
| Short-Form Summarization | 118 | 114 |
| Blog Post Writing | 130 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →