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 2026-10-21.

Qwen: Qwen3.8 Max (0902) OpenAI: GPT-5.6 Terra
Vendorqwenopenai
Quality Score100100
Benchmark Score76.570.0
Input Price$2.00/M$2.00/M
Output Price$6.00/M$12.00/M
Context Window1,000,0001,050,000
Max Output131,072128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index74.969.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.8 Max (0902) costs $3.50 and GPT-5.6 Terra costs $5.00, so Qwen3.8 Max (0902) is about 1.4 times cheaper for the same work.

Both take in a similar amount of text: 1,000,000 and 1,050,000 tokens, about 1,500 and 1,575 pages.

Only Qwen3.8 Max (0902) offers video input.

On our blended benchmark score Qwen3.8 Max (0902) leads 76.5 to 70.0.

Across the 20 tasks where they differ, Qwen3.8 Max (0902) scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Qwen3.8 Max (0902) was released in September 2026 and GPT-5.6 Terra in July 2026.

Pick Qwen3.8 Max (0902) if you need lower cost, video input, benchmark performance or the stronger all-round task scores.

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?

TaskQwen: Qwen3.8 Max (0902)OpenAI: GPT-5.6 Terra
SQL Generation 142 140
Code Review 146 145
Code Completion 119 118
Code Refactoring 148 147
Bug Fixing 150 149
Unit Test Generation 133 132
Code Documentation 137 135
Regex Writing 125 124
CI/CD Pipelines 129 128
Frontend Component Design 131 130
Data Analysis 135 134
CSV / Spreadsheet Cleanup 136 135
ETL Scripting 138 137
JSON Extraction 122 121
Bulk Data Labeling 119 117
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Long-Document Summarization 149 147
Short-Form Summarization 118 116
Blog Post Writing 130 128

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

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