head-to-head
OpenAI: GPT-5.4 Nano vs Qwen: Qwen3.5-9B
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-06-14.
| OpenAI: GPT-5.4 Nano | Qwen: Qwen3.5-9B | |
|---|---|---|
| Vendor | openai | qwen |
| Quality Score | 100 | 100 |
| Benchmark Score | 73.0 | 50.1 |
| Input Price | $0.20/M | $0.10/M |
| Output Price | $1.25/M | $0.15/M |
| Context Window | 400,000 | 262,144 |
| Max Output | 128,000 | 262,144 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 72.6 | 53.5 |
| ai_index_agentic | 78.5 | 61.7 |
| ai_index_coding | 72.4 | 41.8 |
Who wins by task?
| Task | OpenAI: GPT-5.4 Nano | Qwen: Qwen3.5-9B |
|---|---|---|
| SQL Generation | 165 | 153 |
| Code Review | 161 | 147 |
| Code Completion | 133 | 130 |
| Code Refactoring | 159 | 144 |
| Bug Fixing | 175 | 158 |
| Unit Test Generation | 149 | 138 |
| Code Documentation | 142 | 133 |
| Regex Writing | 134 | 130 |
| CI/CD Pipelines | 140 | 131 |
| Frontend Component Design | 142 | 136 |
| Data Analysis | 164 | 152 |
| CSV / Spreadsheet Cleanup | 150 | 138 |
| ETL Scripting | 150 | 138 |
| JSON Extraction | 144 | 140 |
| Bulk Data Labeling | 134 | 132 |
| OCR / Document Parsing | 143 | 136 |
| Table Extraction from PDFs | 143 | 136 |
| Long-Document Summarization | 157 | 143 |
| Short-Form Summarization | 131 | 129 |
| Blog Post Writing | 138 | 131 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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