OpenAI: GPT-5.6 Terra (batch) 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 Terra (batch) | Qwen: Qwen3.7 Plus | |
|---|---|---|
| Vendor | openai | qwen |
| Quality Score | 100 | 100 |
| Benchmark Score | 93.0 | 64.8 |
| Input Price | $1.00/M | $0.32/M |
| Output Price | $6.00/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 | 90.7 | 64.3 |
| ai_index_agentic | 78.2 | 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 Terra (batch) costs $2.50, so Qwen3.7 Plus is about 3.9 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 Terra (batch) leads 93.0 to 64.8.
Across the 20 tasks where they differ, GPT-5.6 Terra (batch) scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), Qwen3.7 Plus on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).
GPT-5.6 Terra (batch) was released in July 2026 and Qwen3.7 Plus in June 2026.
Pick GPT-5.6 Terra (batch) 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 Terra (batch) | Qwen: Qwen3.7 Plus |
|---|---|---|
| SQL Generation | 172 | 162 |
| Code Review | 168 | 157 |
| Code Completion | 120 | 133 |
| Code Refactoring | 165 | 157 |
| Bug Fixing | 181 | 166 |
| Unit Test Generation | 155 | 147 |
| Code Documentation | 143 | 140 |
| Regex Writing | 136 | 131 |
| CI/CD Pipelines | 145 | 138 |
| Frontend Component Design | 147 | 140 |
| Data Analysis | 171 | 156 |
| CSV / Spreadsheet Cleanup | 154 | 151 |
| ETL Scripting | 155 | 147 |
| JSON Extraction | 139 | 146 |
| Bulk Data Labeling | 125 | 134 |
| OCR / Document Parsing | 147 | 144 |
| Table Extraction from PDFs | 147 | 144 |
| Long-Document Summarization | 160 | 153 |
| Short-Form Summarization | 123 | 129 |
| Blog Post Writing | 140 | 135 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →