head-to-head
Sakana: Sakana Namazu vs OpenAI: GPT-5.6 Luna (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-08-13.
| Sakana: Sakana Namazu | OpenAI: GPT-5.6 Luna (batch) | |
|---|---|---|
| Vendor | sakana | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 88.2 |
| Input Price | $0.95/M | $0.10/M |
| Output Price | $4.00/M | $0.60/M |
| Context Window | 262,144 | 1,050,000 |
| Max Output | 65,536 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | - | 86.3 |
| ai_index_agentic | - | 77.4 |
| ai_index_coding | - | 100.0 |
Who wins by task?
| Task | Sakana: Sakana Namazu | OpenAI: GPT-5.6 Luna (batch) |
|---|---|---|
| SQL Generation | 130 | 172 |
| Code Review | 126 | 167 |
| Code Completion | 128 | 133 |
| Code Refactoring | 127 | 164 |
| Bug Fixing | 130 | 180 |
| Unit Test Generation | 121 | 154 |
| Code Documentation | 125 | 143 |
| Regex Writing | 119 | 137 |
| CI/CD Pipelines | 117 | 144 |
| Frontend Component Design | 122 | 146 |
| Data Analysis | 124 | 171 |
| CSV / Spreadsheet Cleanup | 128 | 154 |
| ETL Scripting | 122 | 154 |
| JSON Extraction | 131 | 149 |
| Bulk Data Labeling | 128 | 135 |
| OCR / Document Parsing | 128 | 146 |
| Table Extraction from PDFs | 128 | 146 |
| Long-Document Summarization | 129 | 160 |
| Short-Form Summarization | 123 | 132 |
| Blog Post Writing | 118 | 140 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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