Qwen: Qwen3.8 27B vs OpenAI: GPT-5.6 Luna (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-30.
| Qwen: Qwen3.8 27B | OpenAI: GPT-5.6 Luna (batch) | |
|---|---|---|
| Vendor | qwen | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 55.6 | 62.3 |
| Input Price | $0.42/M | $0.10/M |
| Output Price | $3.00/M | $0.60/M |
| Context Window | 1,000,000 | 1,050,000 |
| Max Output | 131,072 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 55.6 | 61.6 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna (batch) costs $0.25 and Qwen3.8 27B costs $1.17, so GPT-5.6 Luna (batch) is about 4.7 times cheaper for the same work.
Both take in a similar amount of text: 1,000,000 and 1,050,000 tokens, about 1,500 and 1,575 pages.
Only Qwen3.8 27B offers video input.
On our blended benchmark score GPT-5.6 Luna (batch) leads 62.3 to 55.6.
Across the 20 tasks where they differ, GPT-5.6 Luna (batch) on 20 (SQL Generation, Code Review, Code Completion and others).
Qwen3.8 27B was released in August 2026 and GPT-5.6 Luna (batch) in July 2026.
Pick Qwen3.8 27B if you need video input; pick GPT-5.6 Luna (batch) if you need lower cost, 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 | Qwen: Qwen3.8 27B | OpenAI: GPT-5.6 Luna (batch) |
|---|---|---|
| SQL Generation | 140 | 141 |
| Code Review | 142 | 143 |
| Code Completion | 132 | 133 |
| Code Refactoring | 144 | 145 |
| Bug Fixing | 146 | 147 |
| Unit Test Generation | 130 | 131 |
| Code Documentation | 136 | 137 |
| Regex Writing | 124 | 126 |
| CI/CD Pipelines | 126 | 127 |
| Frontend Component Design | 128 | 129 |
| Data Analysis | 132 | 133 |
| CSV / Spreadsheet Cleanup | 135 | 136 |
| ETL Scripting | 135 | 136 |
| JSON Extraction | 131 | 131 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 133 | 134 |
| Table Extraction from PDFs | 133 | 134 |
| Long-Document Summarization | 146 | 147 |
| Short-Form Summarization | 126 | 126 |
| Blog Post Writing | 128 | 129 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →