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 2026-10-13.
| OpenAI: GPT-6 Luna Pro (batch) | inclusionAI: Ling 3.0 Flash VL | |
|---|---|---|
| Vendor | openai | inclusionai |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 38.6 |
| Input Price | $0.05/M | $0.02/M |
| Output Price | $0.25/M | $0.06/M |
| Context Window | 1,050,000 | 262,144 |
| Max Output | 128,000 | 32,768 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | - | 40.5 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Ling 3.0 Flash VL costs $0.036 and GPT-6 Luna Pro (batch) costs $0.11, so Ling 3.0 Flash VL is about 3.1 times 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 393 pages for Ling 3.0 Flash VL.
Only Ling 3.0 Flash VL offers video input.
Across the 20 tasks where they differ, GPT-6 Luna Pro (batch) scores higher on 7 (Code Completion, Code Refactoring, Code Documentation and others), Ling 3.0 Flash VL on 13 (SQL Generation, Code Review, Bug Fixing and others).
Pick GPT-6 Luna Pro (batch) if you need long documents; 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?
| Task | OpenAI: GPT-6 Luna Pro (batch) | inclusionAI: Ling 3.0 Flash VL |
|---|---|---|
| SQL Generation | 134 | 136 |
| Code Review | 132 | 134 |
| Code Completion | 131 | 130 |
| Code Refactoring | 136 | 134 |
| Bug Fixing | 136 | 138 |
| Unit Test Generation | 124 | 126 |
| Code Documentation | 131 | 130 |
| Regex Writing | 119 | 124 |
| CI/CD Pipelines | 120 | 122 |
| Frontend Component Design | 122 | 126 |
| Data Analysis | 124 | 130 |
| CSV / Spreadsheet Cleanup | 134 | 130 |
| ETL Scripting | 128 | 128 |
| JSON Extraction | 131 | 132 |
| Bulk Data Labeling | 129 | 130 |
| OCR / Document Parsing | 131 | 130 |
| Table Extraction from PDFs | 131 | 130 |
| Long-Document Summarization | 138 | 136 |
| Short-Form Summarization | 123 | 126 |
| Blog Post Writing | 122 | 124 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →