head-to-head
OpenAI: GPT-6 Luna vs Anthropic: Claude Opus 5.5 (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-23.
| OpenAI: GPT-6 Luna | Anthropic: Claude Opus 5.5 (batch) | |
|---|---|---|
| Vendor | openai | anthropic |
| Quality Score | 100 | 100 |
| Benchmark Score | 62.2 | 100.0 |
| Input Price | $0.10/M | $2.00/M |
| Output Price | $0.50/M | $10.00/M |
| Context Window | 1,050,000 | 1,000,000 |
| Max Output | 128,000 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 61.5 | 95.1 |
Who wins by task?
| Task | OpenAI: GPT-6 Luna | Anthropic: Claude Opus 5.5 (batch) |
|---|---|---|
| SQL Generation | 141 | 144 |
| Code Review | 143 | 150 |
| Code Completion | 133 | 119 |
| Code Refactoring | 145 | 151 |
| Bug Fixing | 147 | 154 |
| Unit Test Generation | 131 | 135 |
| Code Documentation | 137 | 138 |
| Regex Writing | 126 | 127 |
| CI/CD Pipelines | 127 | 131 |
| Frontend Component Design | 129 | 133 |
| Data Analysis | 133 | 138 |
| CSV / Spreadsheet Cleanup | 136 | 136 |
| ETL Scripting | 136 | 141 |
| JSON Extraction | 131 | 121 |
| Bulk Data Labeling | 129 | 118 |
| OCR / Document Parsing | 134 | 135 |
| Table Extraction from PDFs | 134 | 135 |
| Long-Document Summarization | 147 | 152 |
| Short-Form Summarization | 127 | 118 |
| Blog Post Writing | 129 | 132 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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