head-to-head
Anthropic: Claude Opus 5 (batch) vs OpenAI: GPT-5.6 Luna
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-23.
| Anthropic: Claude Opus 5 (batch) | OpenAI: GPT-5.6 Luna | |
|---|---|---|
| Vendor | anthropic | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 87.3 | 62.3 |
| Input Price | $2.50/M | $0.20/M |
| Output Price | $12.50/M | $1.20/M |
| Context Window | 1,000,000 | 1,050,000 |
| Max Output | 128,000 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 83.8 | 61.6 |
Who wins by task?
| Task | Anthropic: Claude Opus 5 (batch) | OpenAI: GPT-5.6 Luna |
|---|---|---|
| SQL Generation | 142 | 141 |
| Code Review | 147 | 143 |
| Code Completion | 118 | 133 |
| Code Refactoring | 149 | 145 |
| Bug Fixing | 151 | 147 |
| Unit Test Generation | 134 | 131 |
| Code Documentation | 136 | 137 |
| Regex Writing | 125 | 125 |
| CI/CD Pipelines | 130 | 127 |
| Frontend Component Design | 132 | 129 |
| Data Analysis | 136 | 133 |
| CSV / Spreadsheet Cleanup | 135 | 136 |
| ETL Scripting | 139 | 136 |
| JSON Extraction | 121 | 131 |
| Bulk Data Labeling | 117 | 129 |
| OCR / Document Parsing | 135 | 134 |
| Table Extraction from PDFs | 135 | 134 |
| Long-Document Summarization | 149 | 147 |
| Short-Form Summarization | 117 | 126 |
| Blog Post Writing | 130 | 129 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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