OpenAI: GPT-5.6 Luna vs Anthropic: Claude Opus 4.8 (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-5.6 Luna | Anthropic: Claude Opus 4.8 (batch) | |
|---|---|---|
| Vendor | openai | anthropic |
| Quality Score | 100 | 100 |
| Benchmark Score | 89.4 | 93.7 |
| Input Price | $0.20/M | $2.50/M |
| Output Price | $1.20/M | $12.50/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 | 84.5 | 91.9 |
| ai_index_agentic | 75.2 | 77.8 |
| ai_index_coding | 100.0 | 100.0 |
| eqbench | - | 74.2 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna costs $0.50 and Claude Opus 4.8 (batch) costs $5.62, so GPT-5.6 Luna is about 11.2 times cheaper for the same work.
Both take in a similar amount of text: 1,050,000 and 1,000,000 tokens, about 1,575 and 1,500 pages.
On our blended benchmark score Claude Opus 4.8 (batch) leads 93.7 to 89.4.
Across the 20 tasks where they differ, GPT-5.6 Luna scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), Claude Opus 4.8 (batch) on 16 (SQL Generation, Code Review, Code Refactoring and others).
GPT-5.6 Luna was released in July 2026 and Claude Opus 4.8 (batch) in May 2026.
Pick GPT-5.6 Luna if you need lower cost; pick Claude Opus 4.8 (batch) if you need benchmark performance 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 | OpenAI: GPT-5.6 Luna | Anthropic: Claude Opus 4.8 (batch) |
|---|---|---|
| SQL Generation | 171 | 176 |
| Code Review | 166 | 177 |
| Code Completion | 133 | 121 |
| Code Refactoring | 163 | 174 |
| Bug Fixing | 179 | 190 |
| Unit Test Generation | 154 | 160 |
| Code Documentation | 143 | 147 |
| Regex Writing | 136 | 137 |
| CI/CD Pipelines | 144 | 150 |
| Frontend Component Design | 146 | 150 |
| Data Analysis | 170 | 176 |
| CSV / Spreadsheet Cleanup | 154 | 158 |
| ETL Scripting | 154 | 162 |
| JSON Extraction | 149 | 138 |
| Bulk Data Labeling | 135 | 123 |
| OCR / Document Parsing | 146 | 149 |
| Table Extraction from PDFs | 146 | 149 |
| Long-Document Summarization | 159 | 169 |
| Short-Form Summarization | 132 | 123 |
| Blog Post Writing | 140 | 145 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →