head-to-head

Qwen: Qwen3.7 Flash vs OpenAI: GPT-5.6 Luna (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

Qwen: Qwen3.7 Flash OpenAI: GPT-5.6 Luna (batch)
Vendorqwenopenai
Quality Score100100
Benchmark Score-89.4
Input Price$0.03/M$0.10/M
Output Price$0.13/M$0.60/M
Context Window1,000,0001,050,000
Max Output65,536128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-84.5
ai_index_agentic-75.2
ai_index_coding-100.0

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.7 Flash costs $0.062 and GPT-5.6 Luna (batch) costs $0.25, so Qwen3.7 Flash is about 4.0 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 Qwen3.7 Flash offers video input.

Across the 20 tasks where they differ, GPT-5.6 Luna (batch) on 20 (SQL Generation, Code Review, Code Completion and others).

Pick Qwen3.7 Flash if you need lower cost or video input; pick GPT-5.6 Luna (batch) if you need 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: Qwen3.7 FlashOpenAI: GPT-5.6 Luna (batch)
SQL Generation 134 171
Code Review 132 166
Code Completion 132 133
Code Refactoring 136 163
Bug Fixing 136 179
Unit Test Generation 124 154
Code Documentation 132 143
Regex Writing 120 136
CI/CD Pipelines 120 144
Frontend Component Design 122 146
Data Analysis 124 170
CSV / Spreadsheet Cleanup 134 154
ETL Scripting 128 154
JSON Extraction 132 149
Bulk Data Labeling 130 135
OCR / Document Parsing 131 146
Table Extraction from PDFs 131 146
Long-Document Summarization 138 160
Short-Form Summarization 124 132
Blog Post Writing 122 140

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

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