head-to-head

inclusionAI: Ling 3.0 Flash vs OpenAI: GPT-5.6 Luna Pro

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-02.

inclusionAI: Ling 3.0 Flash OpenAI: GPT-5.6 Luna Pro
Vendorinclusionaiopenai
Quality Score100100
Benchmark Score30.4-
Input Price$0.02/M$0.20/M
Output Price$0.06/M$1.20/M
Context Window262,1441,050,000
Max Output32,768128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision-✓
Audio--
Benchmark Scores
ai_index33.2-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Ling 3.0 Flash costs $0.037 and GPT-5.6 Luna Pro costs $0.50, so Ling 3.0 Flash is about 13.6 times cheaper for the same work.

GPT-5.6 Luna Pro reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Ling 3.0 Flash.

Only GPT-5.6 Luna Pro offers image input.

Across the 20 tasks where they differ, Ling 3.0 Flash scores higher on 11 (SQL Generation, Code Review, Bug Fixing and others), GPT-5.6 Luna Pro on 9 (Code Completion, Code Refactoring, Code Documentation and others).

Pick Ling 3.0 Flash if you need lower cost; pick GPT-5.6 Luna Pro if you need long documents or image 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?

TaskinclusionAI: Ling 3.0 FlashOpenAI: GPT-5.6 Luna Pro
SQL Generation 135 133
Code Review 132 132
Code Completion 129 131
Code Refactoring 133 136
Bug Fixing 136 136
Unit Test Generation 125 124
Code Documentation 129 131
Regex Writing 123 119
CI/CD Pipelines 121 120
Frontend Component Design 96 122
Data Analysis 129 124
CSV / Spreadsheet Cleanup 129 133
ETL Scripting 127 128
JSON Extraction 132 131
Bulk Data Labeling 130 129
OCR / Document Parsing 84 131
Table Extraction from PDFs 84 131
Long-Document Summarization 135 137
Short-Form Summarization 125 123
Blog Post Writing 123 121

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

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