head-to-head

OpenAI: GPT-6 Luna (batch) 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 Luna (batch) Qwen: Qwen3.8 Max (0902)
Vendoropenaiqwen
Quality Score100100
Benchmark Score63.877.3
Input Price$0.05/M$2.00/M
Output Price$0.25/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_index62.974.9

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna (batch) costs $0.11 and Qwen3.8 Max (0902) costs $3.50, so GPT-6 Luna (batch) is about 31.1 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.

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

On our blended benchmark score Qwen3.8 Max (0902) leads 77.3 to 63.8.

Across the 20 tasks where they differ, GPT-6 Luna (batch) scores higher on 7 (Code Completion, Code Documentation, Regex Writing and others), Qwen3.8 Max (0902) on 13 (SQL Generation, Code Review, Code Refactoring and others).

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

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 Luna (batch)Qwen: Qwen3.8 Max (0902)
SQL Generation 141 142
Code Review 144 146
Code Completion 133 119
Code Refactoring 146 148
Bug Fixing 148 150
Unit Test Generation 131 133
Code Documentation 137 137
Regex Writing 126 125
CI/CD Pipelines 127 129
Frontend Component Design 129 131
Data Analysis 133 135
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 136 138
JSON Extraction 131 122
Bulk Data Labeling 129 119
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Long-Document Summarization 148 149
Short-Form Summarization 127 118
Blog Post Writing 129 130

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

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