OpenAI: GPT-5.6 Luna Pro vs Qwen: Qwen3.6 35B A3B
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-5.6 Luna Pro | Qwen: Qwen3.6 35B A3B | |
|---|---|---|
| Vendor | openai | qwen |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 52.9 |
| Input Price | $0.20/M | $0.10/M |
| Output Price | $1.20/M | $0.90/M |
| Context Window | 1,050,000 | 262,144 |
| Max Output | 128,000 | 235,929 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | - | 52.2 |
| ai_index_agentic | - | 35.3 |
| ai_index_coding | - | 69.1 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.6 35B A3B costs $0.33 and GPT-5.6 Luna Pro costs $0.50, so Qwen3.6 35B A3B 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 393 pages for Qwen3.6 35B A3B.
Only Qwen3.6 35B A3B offers video input.
Across the 20 tasks where they differ, GPT-5.6 Luna Pro scores higher on 1 (Code Completion), Qwen3.6 35B A3B on 19 (SQL Generation, Code Review, Code Refactoring and others).
GPT-5.6 Luna Pro was released in July 2026 and Qwen3.6 35B A3B in April 2026.
Pick GPT-5.6 Luna Pro if you need long documents; pick Qwen3.6 35B A3B if you need lower cost, video input 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 Pro | Qwen: Qwen3.6 35B A3B |
|---|---|---|
| SQL Generation | 133 | 154 |
| Code Review | 132 | 147 |
| Code Completion | 131 | 130 |
| Code Refactoring | 136 | 144 |
| Bug Fixing | 136 | 156 |
| Unit Test Generation | 124 | 140 |
| Code Documentation | 131 | 133 |
| Regex Writing | 119 | 129 |
| CI/CD Pipelines | 120 | 132 |
| Frontend Component Design | 122 | 137 |
| Data Analysis | 124 | 151 |
| CSV / Spreadsheet Cleanup | 133 | 141 |
| ETL Scripting | 128 | 138 |
| JSON Extraction | 131 | 143 |
| Bulk Data Labeling | 129 | 133 |
| OCR / Document Parsing | 131 | 138 |
| Table Extraction from PDFs | 131 | 138 |
| Long-Document Summarization | 137 | 142 |
| Short-Form Summarization | 123 | 128 |
| Blog Post Writing | 121 | 130 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →