OpenAI: GPT-5.6 Sol vs Qwen: Qwen3.7 Plus
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-5.6 Sol | Qwen: Qwen3.7 Plus | |
|---|---|---|
| Vendor | openai | qwen |
| Quality Score | 98 | 100 |
| Benchmark Score | 99.3 | 64.8 |
| Input Price | $4.00/M | $0.32/M |
| Output Price | $20.00/M | $1.28/M |
| Context Window | 1,050,000 | 1,000,000 |
| Max Output | 128,000 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 97.2 | 64.3 |
| ai_index_agentic | 89.1 | 34.3 |
| ai_index_coding | 100.0 | 92.2 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.7 Plus costs $0.64 and GPT-5.6 Sol costs $9.00, so Qwen3.7 Plus is about 14.1 times cheaper for the same work.
Both take in a similar amount of text: 1,050,000 and 1,000,000 tokens, about 1,575 and 1,500 pages.
On our blended benchmark score GPT-5.6 Sol leads 99.3 to 64.8.
Across the 20 tasks where they differ, GPT-5.6 Sol scores higher on 14 (SQL Generation, Code Review, Code Refactoring and others), Qwen3.7 Plus on 6 (Code Completion, Code Documentation, CSV / Spreadsheet Cleanup and others).
GPT-5.6 Sol was released in July 2026 and Qwen3.7 Plus in June 2026.
Pick GPT-5.6 Sol if you need benchmark performance or the stronger all-round task scores; pick Qwen3.7 Plus if you need lower cost.
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 | OpenAI: GPT-5.6 Sol | Qwen: Qwen3.7 Plus |
|---|---|---|
| SQL Generation | 170 | 162 |
| Code Review | 168 | 157 |
| Code Completion | 115 | 133 |
| Code Refactoring | 164 | 157 |
| Bug Fixing | 183 | 166 |
| Unit Test Generation | 154 | 147 |
| Code Documentation | 138 | 140 |
| Regex Writing | 132 | 131 |
| CI/CD Pipelines | 144 | 138 |
| Frontend Component Design | 146 | 140 |
| Data Analysis | 173 | 156 |
| CSV / Spreadsheet Cleanup | 151 | 151 |
| ETL Scripting | 154 | 147 |
| JSON Extraction | 134 | 146 |
| Bulk Data Labeling | 118 | 134 |
| OCR / Document Parsing | 145 | 144 |
| Table Extraction from PDFs | 145 | 144 |
| Long-Document Summarization | 158 | 153 |
| Short-Form Summarization | 118 | 129 |
| Blog Post Writing | 138 | 135 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →