head-to-head

OpenAI: GPT-6 Luna Pro (batch) vs inclusionAI: Ling 3.0 Flash VL

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

OpenAI: GPT-6 Luna Pro (batch) inclusionAI: Ling 3.0 Flash VL
Vendoropenaiinclusionai
Quality Score100100
Input Price$0.05/M$0.06/M
Output Price$0.25/M$0.18/M
Context Window1,050,000131,072
Max Output128,00032,768
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Ling 3.0 Flash VL costs $0.10 and GPT-6 Luna Pro (batch) costs $0.11, so Ling 3.0 Flash VL is slightly cheaper for the same work.

GPT-6 Luna Pro (batch) reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 197 pages for Ling 3.0 Flash VL.

Only Ling 3.0 Flash VL offers video input.

Across the 17 tasks where they differ, GPT-6 Luna Pro (batch) scores higher on 14 (SQL Generation, Code Review, Code Completion and others), Ling 3.0 Flash VL on 3 (Regex Writing, JSON Extraction, Short-Form Summarization).

Pick GPT-6 Luna Pro (batch) if you need long documents or the stronger all-round task scores; pick Ling 3.0 Flash VL 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 Luna Pro (batch)inclusionAI: Ling 3.0 Flash VL
SQL Generation 134 128
Code Review 132 121
Code Completion 131 126
Code Refactoring 136 119
Bug Fixing 136 125
Unit Test Generation 124 118
Code Documentation 131 121
Regex Writing 119 120
CI/CD Pipelines 120 114
CSV / Spreadsheet Cleanup 134 123
ETL Scripting 128 117
JSON Extraction 131 132
OCR / Document Parsing 131 125
Table Extraction from PDFs 131 125
Long-Document Summarization 138 121
Short-Form Summarization 123 124
Blog Post Writing 122 116

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

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