NVIDIA: Nemotron 3.5 Super VL (free) vs Google: Gemini 4 Argon (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.
| NVIDIA: Nemotron 3.5 Super VL (free) | Google: Gemini 4 Argon (batch) | |
|---|---|---|
| Vendor | nvidia | |
| Quality Score | 100 | 100 |
| Benchmark Score | 40.1 | 90.2 |
| Input Price | Free | $1.00/M |
| Output Price | Free | $5.00/M |
| Context Window | 1,000,000 | 1,048,576 |
| Max Output | 131,072 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
| Benchmark Scores | ||
| ai_index | 43.7 | 86.7 |
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 Gemini 4 Argon (batch) costs $2.25, 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.
Only Gemini 4 Argon (batch) offers audio input.
On our blended benchmark score Gemini 4 Argon (batch) leads 90.2 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), Gemini 4 Argon (batch) on 16 (SQL Generation, Code Review, Code Refactoring and others).
Pick Nemotron 3.5 Super VL (free) if you need lower cost; pick Gemini 4 Argon (batch) 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?
| Task | NVIDIA: Nemotron 3.5 Super VL (free) | Google: Gemini 4 Argon (batch) |
|---|---|---|
| SQL Generation | 139 | 143 |
| Code Review | 140 | 148 |
| Code Completion | 132 | 120 |
| Code Refactoring | 143 | 149 |
| Bug Fixing | 144 | 152 |
| Unit Test Generation | 129 | 134 |
| Code Documentation | 135 | 138 |
| Regex Writing | 124 | 127 |
| 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 | 132 | 122 |
| Bulk Data Labeling | 130 | 120 |
| OCR / Document Parsing | 133 | 135 |
| Table Extraction from PDFs | 133 | 135 |
| Long-Document Summarization | 145 | 151 |
| Short-Form Summarization | 126 | 119 |
| Blog Post Writing | 127 | 131 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →