head-to-head

NVIDIA: Nemotron 3.5 Super VL (free) vs StepFun: Step 5 Preview

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.

NVIDIA: Nemotron 3.5 Super VL (free) StepFun: Step 5 Preview
Vendornvidiastepfun
Quality Score100100
Benchmark Score40.173.3
Input PriceFree$1.00/M
Output PriceFree$2.70/M
Context Window1,000,0001,048,576
Max Output131,07264,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index43.772.2

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 Step 5 Preview costs $1.68, so Nemotron 3.5 Super VL (free) is free for the same work.

Both take in a similar amount of text: 1,000,000 and 1,048,576 tokens, about 1,500 and 1,573 pages.

On our blended benchmark score Step 5 Preview leads 73.3 to 40.1.

Across the 20 tasks where they differ, Nemotron 3.5 Super VL (free) scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), Step 5 Preview on 16 (SQL Generation, Code Review, Code Refactoring and others).

Pick Nemotron 3.5 Super VL (free) if you need lower cost; pick Step 5 Preview if you need benchmark performance 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 VL (free)StepFun: Step 5 Preview
SQL Generation 139 142
Code Review 140 145
Code Completion 132 120
Code Refactoring 143 147
Bug Fixing 144 149
Unit Test Generation 129 132
Code Documentation 135 137
Regex Writing 124 126
CI/CD Pipelines 125 128
Frontend Component Design 127 130
Data Analysis 130 134
CSV / Spreadsheet Cleanup 135 136
ETL Scripting 134 138
JSON Extraction 132 123
Bulk Data Labeling 130 120
OCR / Document Parsing 133 134
Table Extraction from PDFs 133 134
Long-Document Summarization 145 149
Short-Form Summarization 126 118
Blog Post Writing 127 130

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

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