head-to-head

OpenAI: GPT-6 Sol vs Qwen: Qwen3.8 Max (0902)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-13.

OpenAI: GPT-6 Sol Qwen: Qwen3.8 Max (0902)
Vendoropenaiqwen
Quality Score100100
Benchmark Score81.477.3
Input Price$2.00/M$2.00/M
Output Price$10.00/M$6.00/M
Context Window1,050,0001,000,000
Max Output128,000131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index78.674.9

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-6 Sol costs $4.50, so Qwen3.8 Max (0902) is about 1.3 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.

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

On our blended benchmark score GPT-6 Sol leads 81.4 to 77.3.

Across the 18 tasks where they differ, GPT-6 Sol scores higher on 11 (Code Review, Code Refactoring, Bug Fixing and others), Qwen3.8 Max (0902) on 7 (Code Completion, Code Documentation, Regex Writing and others).

Pick GPT-6 Sol if you need benchmark performance; pick Qwen3.8 Max (0902) if you need lower cost or video input.

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-6 SolQwen: Qwen3.8 Max (0902)
Code Review 146 146
Code Completion 119 119
Code Refactoring 148 148
Bug Fixing 150 150
Unit Test Generation 133 133
Code Documentation 136 137
Regex Writing 125 125
CI/CD Pipelines 129 129
Frontend Component Design 131 131
Data Analysis 135 135
CSV / Spreadsheet Cleanup 135 136
ETL Scripting 139 138
JSON Extraction 121 122
Bulk Data Labeling 118 119
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Long-Document Summarization 149 149
Short-Form Summarization 117 118

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

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