head-to-head
Claude Opus 5 (batch) vs OpenAI: GPT-5.6 Luna
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-08-13.
| Claude Opus 5 (batch) | OpenAI: GPT-5.6 Luna | |
|---|---|---|
| Vendor | anthropic | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 100.0 | 88.2 |
| Input Price | $2.50/M | $0.10/M |
| Output Price | $12.50/M | $0.60/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 | 100.0 | 86.3 |
| ai_index_agentic | 97.6 | 77.4 |
| ai_index_coding | 100.0 | 100.0 |
Who wins by task?
| Task | Claude Opus 5 (batch) | OpenAI: GPT-5.6 Luna |
|---|---|---|
| SQL Generation | 175 | 172 |
| Code Review | 171 | 167 |
| Code Completion | 119 | 133 |
| Code Refactoring | 167 | 164 |
| Bug Fixing | 187 | 180 |
| Unit Test Generation | 157 | 154 |
| Code Documentation | 142 | 143 |
| Regex Writing | 136 | 137 |
| CI/CD Pipelines | 147 | 144 |
| Frontend Component Design | 149 | 146 |
| Data Analysis | 177 | 171 |
| CSV / Spreadsheet Cleanup | 154 | 154 |
| ETL Scripting | 157 | 154 |
| JSON Extraction | 138 | 149 |
| Bulk Data Labeling | 123 | 135 |
| OCR / Document Parsing | 148 | 146 |
| Table Extraction from PDFs | 148 | 146 |
| Long-Document Summarization | 162 | 160 |
| Short-Form Summarization | 122 | 132 |
| Blog Post Writing | 142 | 140 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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