head-to-head

OpenAI: GPT-6.1 Sol Pro vs inclusionAI: Ling 3.0 Flash VL

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-30.

OpenAI: GPT-6.1 Sol Pro inclusionAI: Ling 3.0 Flash VL
Vendoropenaiinclusionai
Quality Score100100
Benchmark Score-38.6
Input Price$2.00/M$0.02/M
Output Price$10.00/M$0.06/M
Context Window1,050,000262,144
Max Output128,00032,768
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-6.1 Sol Pro costs $4.50, so Ling 3.0 Flash VL is about 123.6 times cheaper for the same work.

GPT-6.1 Sol 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 VL.

Only Ling 3.0 Flash VL offers video input.

Across the 20 tasks where they differ, GPT-6.1 Sol Pro scores higher on 5 (Code Refactoring, CSV / Spreadsheet Cleanup, OCR / Document Parsing and others), Ling 3.0 Flash VL on 15 (SQL Generation, Code Review, Code Completion and others).

Pick GPT-6.1 Sol Pro if you need long documents; pick Ling 3.0 Flash VL if you need lower cost, video input or 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?

TaskOpenAI: GPT-6.1 Sol ProinclusionAI: Ling 3.0 Flash VL
SQL Generation 132 136
Code Review 132 134
Code Completion 117 130
Code Refactoring 136 134
Bug Fixing 136 138
Unit Test Generation 124 126
Code Documentation 129 130
Regex Writing 117 124
CI/CD Pipelines 120 122
Frontend Component Design 122 126
Data Analysis 124 130
CSV / Spreadsheet Cleanup 132 130
ETL Scripting 128 128
JSON Extraction 121 132
Bulk Data Labeling 118 130
OCR / Document Parsing 131 130
Table Extraction from PDFs 131 130
Long-Document Summarization 136 136
Short-Form Summarization 113 126
Blog Post Writing 120 124

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

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