NVIDIA: Nemotron 3.5 Super VL (free) vs PrismML: Ternary Bonsai 2 27B
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.
| NVIDIA: Nemotron 3.5 Super VL (free) | PrismML: Ternary Bonsai 2 27B | |
|---|---|---|
| Vendor | nvidia | prism-ml |
| Quality Score | 100 | 100 |
| Benchmark Score | 40.1 | - |
| Input Price | Free | $0.07/M |
| Output Price | Free | $0.50/M |
| Context Window | 1,000,000 | 262,144 |
| Max Output | 131,072 | 32,768 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 43.7 | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Nemotron 3.5 Super VL (free) costs $0 and Ternary Bonsai 2 27B costs $0.20, so Nemotron 3.5 Super VL (free) is free for the same work.
Nemotron 3.5 Super VL (free) reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 393 pages for Ternary Bonsai 2 27B.
Only Nemotron 3.5 Super VL (free) offers video input.
Across the 20 tasks where they differ, Nemotron 3.5 Super VL (free) scores higher on 20 (SQL Generation, Code Review, Code Completion and others).
Nemotron 3.5 Super VL (free) was released in October 2026 and Ternary Bonsai 2 27B in September 2026.
Pick Nemotron 3.5 Super VL (free) if you need lower cost, long documents, 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 | NVIDIA: Nemotron 3.5 Super VL (free) | PrismML: Ternary Bonsai 2 27B |
|---|---|---|
| SQL Generation | 139 | 131 |
| Code Review | 140 | 126 |
| Code Completion | 132 | 129 |
| Code Refactoring | 143 | 127 |
| Bug Fixing | 144 | 130 |
| Unit Test Generation | 129 | 121 |
| Code Documentation | 135 | 126 |
| Regex Writing | 124 | 119 |
| CI/CD Pipelines | 125 | 117 |
| Frontend Component Design | 127 | 122 |
| Data Analysis | 130 | 124 |
| CSV / Spreadsheet Cleanup | 135 | 128 |
| ETL Scripting | 134 | 122 |
| JSON Extraction | 132 | 131 |
| Bulk Data Labeling | 130 | 129 |
| OCR / Document Parsing | 133 | 128 |
| Table Extraction from PDFs | 133 | 128 |
| Long-Document Summarization | 145 | 129 |
| Short-Form Summarization | 126 | 123 |
| Blog Post Writing | 127 | 119 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →