OpenAI: GPT-5.6 Luna Pro (batch) 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 Pro (batch) | OpenAI: GPT-5.6 Sol (batch) | |
|---|---|---|
| Vendor | openai | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 99.3 |
| Input Price | $0.10/M | $2.00/M |
| Output Price | $0.60/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 | - | 97.2 |
| ai_index_agentic | - | 89.1 |
| ai_index_coding | - | 100.0 |
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 GPT-5.6 Sol (batch) costs $4.50, so GPT-5.6 Luna Pro (batch) is about 18.0 times cheaper for the same work.
Both read up to 1,050,000 tokens at once, roughly 1,575 pages of text.
Across the 20 tasks where they differ, GPT-5.6 Luna Pro (batch) scores higher on 3 (Code Completion, Bulk Data Labeling, Short-Form Summarization), GPT-5.6 Sol (batch) on 17 (SQL Generation, Code Review, Code Refactoring and others).
Pick GPT-5.6 Luna Pro (batch) if you need lower cost; pick GPT-5.6 Sol (batch) if you need 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 Pro (batch) | OpenAI: GPT-5.6 Sol (batch) |
|---|---|---|
| SQL Generation | 133 | 173 |
| Code Review | 132 | 170 |
| Code Completion | 131 | 119 |
| Code Refactoring | 136 | 166 |
| Bug Fixing | 136 | 185 |
| Unit Test Generation | 124 | 156 |
| Code Documentation | 131 | 143 |
| Regex Writing | 119 | 136 |
| CI/CD Pipelines | 120 | 146 |
| Frontend Component Design | 122 | 148 |
| Data Analysis | 124 | 175 |
| CSV / Spreadsheet Cleanup | 133 | 154 |
| ETL Scripting | 128 | 156 |
| JSON Extraction | 131 | 139 |
| Bulk Data Labeling | 129 | 124 |
| OCR / Document Parsing | 131 | 147 |
| Table Extraction from PDFs | 131 | 147 |
| Long-Document Summarization | 137 | 161 |
| Short-Form Summarization | 123 | 123 |
| Blog Post Writing | 121 | 141 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →