head-to-head
Qwen: Qwen3.6 27B vs OpenAI: GPT-5.4 Nano
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-23.
| Qwen: Qwen3.6 27B | OpenAI: GPT-5.4 Nano | |
|---|---|---|
| Vendor | qwen | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 32.8 | 31.5 |
| Input Price | $0.32/M | $0.20/M |
| Output Price | $2.70/M | $1.25/M |
| Context Window | 262,144 | 400,000 |
| Max Output | 262,140 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 35.4 | 34.2 |
Who wins by task?
| Task | Qwen: Qwen3.6 27B | OpenAI: GPT-5.4 Nano |
|---|---|---|
| SQL Generation | 135 | 138 |
| Code Review | 133 | 138 |
| Code Completion | 129 | 132 |
| Code Refactoring | 133 | 141 |
| Bug Fixing | 137 | 142 |
| Unit Test Generation | 125 | 128 |
| Code Documentation | 129 | 134 |
| Regex Writing | 122 | 123 |
| CI/CD Pipelines | 121 | 124 |
| Frontend Component Design | 126 | 126 |
| Data Analysis | 129 | 129 |
| CSV / Spreadsheet Cleanup | 129 | 135 |
| ETL Scripting | 127 | 132 |
| JSON Extraction | 131 | 131 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 130 | 132 |
| Table Extraction from PDFs | 130 | 132 |
| Long-Document Summarization | 135 | 143 |
| Short-Form Summarization | 125 | 125 |
| Blog Post Writing | 123 | 126 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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