PrismML: Ternary Bonsai 2 27B vs inclusionAI: Ling 3.0 Flash
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| PrismML: Ternary Bonsai 2 27B | inclusionAI: Ling 3.0 Flash | |
|---|---|---|
| Vendor | prism-ml | inclusionai |
| Quality Score | 100 | 100 |
| Input Price | $0.07/M | $0.02/M |
| Output Price | $0.50/M | $0.06/M |
| Context Window | 262,144 | 262,144 |
| Max Output | 32,768 | 32,768 |
| 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 Ternary Bonsai 2 27B costs $0.20, so Ling 3.0 Flash is about 5.4 times cheaper for the same work.
Both read up to 262,144 tokens at once, roughly 393 pages of text.
Only Ternary Bonsai 2 27B offers image input.
Across the 10 tasks where they differ, Ternary Bonsai 2 27B scores higher on 3 (Frontend Component Design, OCR / Document Parsing, Table Extraction from PDFs), Ling 3.0 Flash on 7 (Code Completion, Code Documentation, Regex Writing and others).
Ternary Bonsai 2 27B was released in September 2026 and Ling 3.0 Flash in July 2026.
Pick Ternary Bonsai 2 27B if you need image input; pick Ling 3.0 Flash if you need lower cost 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?
| Task | PrismML: Ternary Bonsai 2 27B | inclusionAI: Ling 3.0 Flash |
|---|---|---|
| Code Completion | 129 | 129 |
| Code Documentation | 126 | 126 |
| Regex Writing | 119 | 120 |
| Frontend Component Design | 122 | 92 |
| CSV / Spreadsheet Cleanup | 128 | 128 |
| JSON Extraction | 131 | 132 |
| Bulk Data Labeling | 129 | 130 |
| OCR / Document Parsing | 128 | 83 |
| Table Extraction from PDFs | 128 | 83 |
| Short-Form Summarization | 123 | 124 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →