head-to-head

inclusionAI: Ling 3.0 Flash VL vs Google: Gemini 3.7 Flash

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

inclusionAI: Ling 3.0 Flash VL Google: Gemini 3.7 Flash
Vendorinclusionaigoogle
Quality Score100100
Input Price$0.06/M$0.75/M
Output Price$0.18/M$3.75/M
Context Window131,0721,048,576
Max Output32,76865,536
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 Gemini 3.7 Flash costs $1.69, so Ling 3.0 Flash VL is about 16.1 times cheaper for the same work.

Gemini 3.7 Flash reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 197 pages for Ling 3.0 Flash VL.

Only Gemini 3.7 Flash offers audio input.

Across the 18 tasks where they differ, Ling 3.0 Flash VL scores higher on 4 (Regex Writing, JSON Extraction, Bulk Data Labeling and others), Gemini 3.7 Flash on 14 (SQL Generation, Code Review, Code Completion and others).

Ling 3.0 Flash VL was released in September 2026 and Gemini 3.7 Flash in August 2026.

Pick Ling 3.0 Flash VL if you need lower cost; pick Gemini 3.7 Flash if you need long documents, audio 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?

TaskinclusionAI: Ling 3.0 Flash VLGoogle: Gemini 3.7 Flash
SQL Generation 128 133
Code Review 121 132
Code Completion 126 131
Code Refactoring 119 136
Bug Fixing 125 136
Unit Test Generation 118 124
Code Documentation 121 131
Regex Writing 120 119
CI/CD Pipelines 114 120
CSV / Spreadsheet Cleanup 123 133
ETL Scripting 117 128
JSON Extraction 132 131
Bulk Data Labeling 129 128
OCR / Document Parsing 125 131
Table Extraction from PDFs 125 131
Long-Document Summarization 121 137
Short-Form Summarization 124 123
Blog Post Writing 116 121

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

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