head-to-head
OpenAI: GPT-5.4 vs Qwen: Qwen3.5-122B-A10B
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-06-14.
| OpenAI: GPT-5.4 | Qwen: Qwen3.5-122B-A10B | |
|---|---|---|
| Vendor | openai | qwen |
| Quality Score | 100 | 100 |
| Benchmark Score | 96.4 | 69.3 |
| Input Price | $2.50/M | $0.26/M |
| Output Price | $15.00/M | $2.08/M |
| Context Window | 1,050,000 | 262,144 |
| Max Output | 128,000 | 262,144 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 93.7 | 68.6 |
| ai_index_agentic | 100.0 | 87.5 |
| ai_index_coding | 94.5 | 57.3 |
| eqbench | 82.4 | - |
Who wins by task?
| Task | OpenAI: GPT-5.4 | Qwen: Qwen3.5-122B-A10B |
|---|---|---|
| SQL Generation | 179 | 161 |
| Code Review | 180 | 154 |
| Code Completion | 120 | 130 |
| Code Refactoring | 177 | 150 |
| Bug Fixing | 196 | 168 |
| Unit Test Generation | 162 | 144 |
| Code Documentation | 148 | 136 |
| Regex Writing | 138 | 133 |
| CI/CD Pipelines | 152 | 136 |
| Frontend Component Design | 152 | 141 |
| Data Analysis | 181 | 163 |
| CSV / Spreadsheet Cleanup | 158 | 142 |
| ETL Scripting | 164 | 143 |
| JSON Extraction | 137 | 142 |
| Bulk Data Labeling | 122 | 133 |
| OCR / Document Parsing | 149 | 139 |
| Table Extraction from PDFs | 149 | 139 |
| Long-Document Summarization | 171 | 148 |
| Short-Form Summarization | 123 | 130 |
| Blog Post Writing | 147 | 134 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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