Anthropic: Claude Opus 5 (batch) vs OpenAI: GPT-5.6 Luna Pro (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| Anthropic: Claude Opus 5 (batch) | OpenAI: GPT-5.6 Luna Pro (batch) | |
|---|---|---|
| Vendor | anthropic | openai |
| Quality Score | 100 | 100 |
| 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 | - | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna Pro (batch) costs $0.25 and Claude Opus 5 (batch) costs $5.62, so GPT-5.6 Luna Pro (batch) is about 22.5 times cheaper for the same work.
Both take in a similar amount of text: 1,000,000 and 1,050,000 tokens, about 1,500 and 1,575 pages.
Across the 10 tasks where they differ, GPT-5.6 Luna Pro (batch) on 10 (SQL Generation, Code Completion, Code Documentation and others).
Pick GPT-5.6 Luna Pro (batch) if you need lower cost or the stronger all-round task scores.
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 | Anthropic: Claude Opus 5 (batch) | OpenAI: GPT-5.6 Luna Pro (batch) |
|---|---|---|
| SQL Generation | 132 | 133 |
| Code Completion | 117 | 131 |
| Code Documentation | 129 | 131 |
| Regex Writing | 117 | 119 |
| CSV / Spreadsheet Cleanup | 132 | 133 |
| JSON Extraction | 121 | 131 |
| Bulk Data Labeling | 117 | 129 |
| Long-Document Summarization | 136 | 137 |
| Short-Form Summarization | 113 | 123 |
| Blog Post Writing | 120 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →