head-to-head

inclusionAI: Ling 3.0 Flash vs OpenAI: GPT-5.6 Sol

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 Sol
Vendorinclusionaiopenai
Quality Score100100
Benchmark Score30.480.2
Input Price$0.02/M$2.00/M
Output Price$0.06/M$10.00/M
Context Window262,1441,050,000
Max Output32,768128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision-✓
Audio--
Benchmark Scores
ai_index33.277.5

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 Sol costs $4.50, so Ling 3.0 Flash is about 122.4 times cheaper for the same work.

GPT-5.6 Sol 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 Sol offers image input.

On our blended benchmark score GPT-5.6 Sol leads 80.2 to 30.4.

Across the 20 tasks where they differ, Ling 3.0 Flash scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), GPT-5.6 Sol on 16 (SQL Generation, Code Review, Code Refactoring and others).

Pick Ling 3.0 Flash if you need lower cost; pick GPT-5.6 Sol if you need long documents, image input, benchmark performance 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?

TaskinclusionAI: Ling 3.0 FlashOpenAI: GPT-5.6 Sol
SQL Generation 135 142
Code Review 132 146
Code Completion 129 119
Code Refactoring 133 148
Bug Fixing 136 150
Unit Test Generation 125 133
Code Documentation 129 136
Regex Writing 123 125
CI/CD Pipelines 121 129
Frontend Component Design 96 131
Data Analysis 129 135
CSV / Spreadsheet Cleanup 129 135
ETL Scripting 127 138
JSON Extraction 132 121
Bulk Data Labeling 130 118
OCR / Document Parsing 84 134
Table Extraction from PDFs 84 134
Long-Document Summarization 135 149
Short-Form Summarization 125 117
Blog Post Writing 123 130

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

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