OpenAI: GPT-5.6 Luna vs Qwen: Qwen3.6 27B
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-5.6 Luna | Qwen: Qwen3.6 27B | |
|---|---|---|
| Vendor | openai | qwen |
| Quality Score | 100 | 100 |
| Benchmark Score | 89.4 | 65.8 |
| Input Price | $0.20/M | $0.32/M |
| Output Price | $1.20/M | $3.20/M |
| Context Window | 1,050,000 | 262,144 |
| Max Output | 128,000 | 81,920 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 84.5 | 61.1 |
| ai_index_agentic | 75.2 | 44.6 |
| ai_index_coding | 100.0 | 88.6 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna costs $0.50 and Qwen3.6 27B costs $1.12, so GPT-5.6 Luna is about 2.2 times cheaper for the same work.
GPT-5.6 Luna reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Qwen3.6 27B.
Only Qwen3.6 27B offers video input.
On our blended benchmark score GPT-5.6 Luna leads 89.4 to 65.8.
Across the 20 tasks where they differ, GPT-5.6 Luna scores higher on 20 (SQL Generation, Code Review, Code Completion and others).
GPT-5.6 Luna was released in July 2026 and Qwen3.6 27B in April 2026.
Pick GPT-5.6 Luna if you need lower cost, long documents, benchmark performance or the stronger all-round task scores; pick Qwen3.6 27B if you need video input.
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 | Qwen: Qwen3.6 27B |
|---|---|---|
| SQL Generation | 171 | 159 |
| Code Review | 166 | 152 |
| Code Completion | 133 | 129 |
| Code Refactoring | 163 | 148 |
| Bug Fixing | 179 | 162 |
| Unit Test Generation | 154 | 144 |
| Code Documentation | 143 | 134 |
| Regex Writing | 136 | 131 |
| CI/CD Pipelines | 144 | 135 |
| Frontend Component Design | 146 | 140 |
| Data Analysis | 170 | 158 |
| CSV / Spreadsheet Cleanup | 154 | 145 |
| ETL Scripting | 154 | 142 |
| JSON Extraction | 149 | 145 |
| Bulk Data Labeling | 135 | 133 |
| OCR / Document Parsing | 146 | 141 |
| Table Extraction from PDFs | 146 | 141 |
| Long-Document Summarization | 159 | 145 |
| Short-Form Summarization | 132 | 129 |
| Blog Post Writing | 140 | 132 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →