OpenAI: GPT-5.6 Luna vs OpenAI: GPT-5.6 Sol (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-5.6 Luna | OpenAI: GPT-5.6 Sol (batch) | |
|---|---|---|
| Vendor | openai | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 89.4 | 99.3 |
| Input Price | $0.20/M | $2.00/M |
| Output Price | $1.20/M | $10.00/M |
| Context Window | 1,050,000 | 1,050,000 |
| Max Output | 128,000 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 84.5 | 97.2 |
| ai_index_agentic | 75.2 | 89.1 |
| ai_index_coding | 100.0 | 100.0 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna costs $0.50 and GPT-5.6 Sol (batch) costs $4.50, so GPT-5.6 Luna is about 9.0 times cheaper for the same work.
Both read up to 1,050,000 tokens at once, roughly 1,575 pages of text.
On our blended benchmark score GPT-5.6 Sol (batch) leads 99.3 to 89.4.
Across the 19 tasks where they differ, GPT-5.6 Luna scores higher on 6 (Code Completion, Code Documentation, CSV / Spreadsheet Cleanup and others), GPT-5.6 Sol (batch) on 13 (SQL Generation, Code Review, Code Refactoring and others).
Pick GPT-5.6 Luna if you need lower cost; pick GPT-5.6 Sol (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 | OpenAI: GPT-5.6 Sol (batch) |
|---|---|---|
| SQL Generation | 171 | 173 |
| Code Review | 166 | 170 |
| Code Completion | 133 | 119 |
| Code Refactoring | 163 | 166 |
| Bug Fixing | 179 | 185 |
| Unit Test Generation | 154 | 156 |
| Code Documentation | 143 | 143 |
| CI/CD Pipelines | 144 | 146 |
| Frontend Component Design | 146 | 148 |
| Data Analysis | 170 | 175 |
| CSV / Spreadsheet Cleanup | 154 | 154 |
| ETL Scripting | 154 | 156 |
| JSON Extraction | 149 | 139 |
| Bulk Data Labeling | 135 | 124 |
| OCR / Document Parsing | 146 | 147 |
| Table Extraction from PDFs | 146 | 147 |
| Long-Document Summarization | 159 | 161 |
| Short-Form Summarization | 132 | 123 |
| Blog Post Writing | 140 | 141 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →