head-to-head
Qwen: Qwen3.8 Max (0902) vs OpenAI: GPT-5.6 Terra
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-06.
| Qwen: Qwen3.8 Max (0902) | OpenAI: GPT-5.6 Terra | |
|---|---|---|
| Vendor | qwen | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 88.6 | 85.4 |
| Input Price | $2.00/M | $2.00/M |
| Output Price | $6.00/M | $12.00/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 | 77.4 | 77.2 |
| ai_index_agentic | 82.3 | 72.5 |
| ai_index_coding | 100.0 | 100.0 |
Who wins by task?
| Task | Qwen: Qwen3.8 Max (0902) | OpenAI: GPT-5.6 Terra |
|---|---|---|
| SQL Generation | 171 | 169 |
| Code Review | 165 | 164 |
| Code Completion | 119 | 118 |
| Code Refactoring | 163 | 162 |
| Bug Fixing | 180 | 177 |
| Unit Test Generation | 153 | 153 |
| Code Documentation | 141 | 140 |
| Regex Writing | 135 | 133 |
| CI/CD Pipelines | 144 | 143 |
| Frontend Component Design | 146 | 145 |
| Data Analysis | 170 | 168 |
| CSV / Spreadsheet Cleanup | 153 | 152 |
| ETL Scripting | 153 | 152 |
| JSON Extraction | 139 | 138 |
| Bulk Data Labeling | 125 | 123 |
| OCR / Document Parsing | 146 | 146 |
| Table Extraction from PDFs | 146 | 146 |
| Long-Document Summarization | 158 | 157 |
| Short-Form Summarization | 122 | 121 |
| Blog Post Writing | 139 | 138 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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