PrismML: Ternary Bonsai 2 9B vs NVIDIA: Nemotron 3.5 Super VL (free)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-02.
| PrismML: Ternary Bonsai 2 9B | NVIDIA: Nemotron 3.5 Super VL (free) | |
|---|---|---|
| Vendor | prism-ml | nvidia |
| Quality Score | 100 | 100 |
| Input Price | $0.08/M | Free |
| Output Price | $0.13/M | Free |
| Context Window | 262,144 | 1,000,000 |
| Max Output | 65,536 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
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 9B costs $0.11, 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 9B.
Only Nemotron 3.5 Super VL (free) offers video input.
Across the 15 tasks where they differ, Nemotron 3.5 Super VL (free) on 15 (SQL Generation, Code Review, Code Completion and others).
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 | PrismML: Ternary Bonsai 2 9B | NVIDIA: Nemotron 3.5 Super VL (free) |
|---|---|---|
| SQL Generation | 131 | 134 |
| Code Review | 126 | 132 |
| Code Completion | 129 | 132 |
| Code Refactoring | 127 | 136 |
| Bug Fixing | 130 | 136 |
| Unit Test Generation | 121 | 124 |
| Code Documentation | 126 | 132 |
| CI/CD Pipelines | 117 | 120 |
| CSV / Spreadsheet Cleanup | 128 | 134 |
| ETL Scripting | 122 | 128 |
| Bulk Data Labeling | 129 | 130 |
| OCR / Document Parsing | 128 | 131 |
| Table Extraction from PDFs | 128 | 131 |
| Long-Document Summarization | 129 | 138 |
| Blog Post Writing | 119 | 122 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →