Thinking Machines: Inkling Small vs OpenAI: GPT-5.6 Luna Pro
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| Thinking Machines: Inkling Small | OpenAI: GPT-5.6 Luna Pro | |
|---|---|---|
| Vendor | thinkingmachines | openai |
| Quality Score | 100 | 100 |
| Input Price | $0.45/M | $0.20/M |
| Output Price | $1.20/M | $1.20/M |
| Context Window | 524,288 | 1,050,000 |
| Max Output | 262,144 | 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 costs $0.50 and Inkling Small costs $0.75, so GPT-5.6 Luna Pro is about 1.5 times cheaper for the same work.
GPT-5.6 Luna Pro reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 786 pages for Inkling Small.
Only Inkling Small offers audio input; only GPT-5.6 Luna Pro offers structured output.
Across the 15 tasks where they differ, GPT-5.6 Luna Pro on 15 (SQL Generation, Code Review, Code Refactoring and others).
Pick Inkling Small if you need audio input; pick GPT-5.6 Luna Pro if you need lower cost, long documents, structured output 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 | Thinking Machines: Inkling Small | OpenAI: GPT-5.6 Luna Pro |
|---|---|---|
| SQL Generation | 125 | 133 |
| Code Review | 128 | 132 |
| Code Refactoring | 132 | 136 |
| Unit Test Generation | 116 | 124 |
| CI/CD Pipelines | 116 | 120 |
| Frontend Component Design | 118 | 122 |
| Data Analysis | 120 | 124 |
| CSV / Spreadsheet Cleanup | 121 | 133 |
| ETL Scripting | 124 | 128 |
| JSON Extraction | 119 | 131 |
| Bulk Data Labeling | 125 | 129 |
| OCR / Document Parsing | 123 | 131 |
| Table Extraction from PDFs | 123 | 131 |
| Long-Document Summarization | 137 | 137 |
| Blog Post Writing | 121 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →