head-to-head

NVIDIA: Nemotron 3.5 Super VL vs Google: Gemini 4 Argon

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

NVIDIA: Nemotron 3.5 Super VL Google: Gemini 4 Argon
Vendornvidiagoogle
Quality Score100100
Benchmark Score40.190.2
Input Price$0.10/M$2.00/M
Output Price$0.40/M$10.00/M
Context Window1,048,5761,048,576
Max Output235,929943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index43.786.7

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Nemotron 3.5 Super VL costs $0.20 and Gemini 4 Argon costs $4.50, so Nemotron 3.5 Super VL is about 22.5 times cheaper for the same work.

Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.

Only Gemini 4 Argon offers audio input.

On our blended benchmark score Gemini 4 Argon leads 90.2 to 40.1.

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

Pick Nemotron 3.5 Super VL if you need lower cost; pick Gemini 4 Argon if you need audio input, 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 VLGoogle: Gemini 4 Argon
SQL Generation 139 143
Code Review 140 148
Code Completion 132 119
Code Refactoring 143 149
Bug Fixing 144 152
Unit Test Generation 129 134
Code Documentation 135 137
Regex Writing 124 126
CI/CD Pipelines 125 130
Frontend Component Design 127 132
Data Analysis 130 137
CSV / Spreadsheet Cleanup 135 136
ETL Scripting 134 140
JSON Extraction 131 121
Bulk Data Labeling 129 118
OCR / Document Parsing 133 135
Table Extraction from PDFs 133 135
Long-Document Summarization 144 150
Short-Form Summarization 126 117
Blog Post Writing 127 131

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

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