head-to-head

OpenAI: GPT Terra Latest vs inclusionAI: Ling 3.0 Flash

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

OpenAI: GPT Terra Latest inclusionAI: Ling 3.0 Flash
Vendor~openaiinclusionai
Quality Score100100
Input Price$1.00/M$0.02/M
Output Price$5.00/M$0.06/M
Context Window1,050,000262,144
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 costs $0.037 and GPT Terra Latest costs $2.25, so Ling 3.0 Flash is about 61.2 times cheaper for the same work.

GPT Terra Latest 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 Terra Latest offers image input.

Across the 19 tasks where they differ, GPT Terra Latest scores higher on 14 (SQL Generation, Code Review, Code Refactoring and others), Ling 3.0 Flash on 5 (Code Completion, Regex Writing, JSON Extraction and others).

GPT Terra Latest was released in September 2026 and Ling 3.0 Flash in July 2026.

Pick GPT Terra Latest if you need long documents, image input or the stronger all-round task scores; pick Ling 3.0 Flash if you need lower cost.

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 Terra LatestinclusionAI: Ling 3.0 Flash
SQL Generation 133 131
Code Review 132 126
Code Completion 118 129
Code Refactoring 136 127
Bug Fixing 136 130
Unit Test Generation 124 121
Code Documentation 130 126
Regex Writing 118 120
CI/CD Pipelines 120 117
Frontend Component Design 122 92
CSV / Spreadsheet Cleanup 133 128
ETL Scripting 128 122
JSON Extraction 122 132
Bulk Data Labeling 120 130
OCR / Document Parsing 131 83
Table Extraction from PDFs 131 83
Long-Document Summarization 137 129
Short-Form Summarization 114 124
Blog Post Writing 121 119

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

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