PrismML: Ternary Bonsai 2 27B vs Google: Gemini 3.5 Flash Lite
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| PrismML: Ternary Bonsai 2 27B | Google: Gemini 3.5 Flash Lite | |
|---|---|---|
| Vendor | prism-ml | |
| Quality Score | 100 | 100 |
| Input Price | $0.07/M | $0.30/M |
| Output Price | $0.50/M | $2.50/M |
| Context Window | 262,144 | 1,048,576 |
| Max Output | 32,768 | 65,536 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Ternary Bonsai 2 27B costs $0.20 and Gemini 3.5 Flash Lite costs $0.93, so Ternary Bonsai 2 27B is about 4.6 times cheaper for the same work.
Gemini 3.5 Flash Lite reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 393 pages for Ternary Bonsai 2 27B.
Only Gemini 3.5 Flash Lite offers audio input and video input.
Across the 18 tasks where they differ, Ternary Bonsai 2 27B scores higher on 4 (Regex Writing, JSON Extraction, Bulk Data Labeling and others), Gemini 3.5 Flash Lite on 14 (SQL Generation, Code Review, Code Completion and others).
Ternary Bonsai 2 27B was released in September 2026 and Gemini 3.5 Flash Lite in July 2026.
Pick Ternary Bonsai 2 27B if you need lower cost; pick Gemini 3.5 Flash Lite if you need long documents, audio input, 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?
| Task | PrismML: Ternary Bonsai 2 27B | Google: Gemini 3.5 Flash Lite |
|---|---|---|
| SQL Generation | 131 | 133 |
| Code Review | 126 | 132 |
| Code Completion | 129 | 131 |
| Code Refactoring | 127 | 136 |
| Bug Fixing | 130 | 136 |
| Unit Test Generation | 121 | 124 |
| Code Documentation | 126 | 131 |
| Regex Writing | 119 | 119 |
| CI/CD Pipelines | 117 | 120 |
| CSV / Spreadsheet Cleanup | 128 | 133 |
| ETL Scripting | 122 | 128 |
| JSON Extraction | 131 | 131 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 128 | 131 |
| Table Extraction from PDFs | 128 | 131 |
| Long-Document Summarization | 129 | 137 |
| Short-Form Summarization | 123 | 123 |
| Blog Post Writing | 119 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →