head-to-head

OpenAI: GPT-5.6 Terra 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 Qwen: Qwen3.7 Plus
Vendoropenaiqwen
Quality Score100100
Benchmark Score93.064.8
Input Price$2.00/M$0.32/M
Output Price$12.00/M$1.28/M
Context Window1,050,0001,000,000
Max Output128,000131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index90.764.3
ai_index_agentic78.234.3
ai_index_coding100.092.2

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 costs $5.00, so Qwen3.7 Plus is about 7.8 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 leads 93.0 to 64.8.

Across the 20 tasks where they differ, GPT-5.6 Terra 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 was released in July 2026 and Qwen3.7 Plus in June 2026.

Pick GPT-5.6 Terra 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?

TaskOpenAI: GPT-5.6 TerraQwen: Qwen3.7 Plus
SQL Generation 171 162
Code Review 168 157
Code Completion 119 133
Code Refactoring 165 157
Bug Fixing 181 166
Unit Test Generation 155 147
Code Documentation 141 140
Regex Writing 135 131
CI/CD Pipelines 145 138
Frontend Component Design 147 140
Data Analysis 171 156
CSV / Spreadsheet Cleanup 153 151
ETL Scripting 155 147
JSON Extraction 138 146
Bulk Data Labeling 123 134
OCR / Document Parsing 147 144
Table Extraction from PDFs 147 144
Long-Document Summarization 159 153
Short-Form Summarization 122 129
Blog Post Writing 140 135

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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