head-to-head

NVIDIA: Nemotron 3.5 Super VL 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 PrismML: Ternary Bonsai 2 27B
Vendornvidiaprism-ml
Quality Score100100
Benchmark Score40.1-
Input Price$0.10/M$0.07/M
Output Price$0.40/M$0.50/M
Context Window1,048,576262,144
Max Output235,92932,768
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index43.7-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, both cost $0.20 at current list prices.

Nemotron 3.5 Super VL 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 Nemotron 3.5 Super VL offers video input.

Across the 18 tasks where they differ, Nemotron 3.5 Super VL scores higher on 18 (SQL Generation, Code Review, Code Completion and others).

Nemotron 3.5 Super VL was released in October 2026 and Ternary Bonsai 2 27B in September 2026.

Pick Nemotron 3.5 Super VL if you need 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?

TaskNVIDIA: Nemotron 3.5 Super VLPrismML: 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
OCR / Document Parsing 133 128
Table Extraction from PDFs 133 128
Long-Document Summarization 144 129
Short-Form Summarization 126 123
Blog Post Writing 127 119

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

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