NVIDIA: Nemotron 3.5 Super VL vs OpenAI: GPT-6.1 Sol
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.
| NVIDIA: Nemotron 3.5 Super VL | OpenAI: GPT-6.1 Sol | |
|---|---|---|
| Vendor | nvidia | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 40.1 | 88.8 |
| Input Price | $0.10/M | $2.00/M |
| Output Price | $0.40/M | $10.00/M |
| Context Window | 1,048,576 | 1,050,000 |
| Max Output | 235,929 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 43.7 | 85.5 |
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 GPT-6.1 Sol costs $4.50, so Nemotron 3.5 Super VL is about 22.5 times cheaper for the same work.
Both take in a similar amount of text: 1,048,576 and 1,050,000 tokens, about 1,573 and 1,575 pages.
Only Nemotron 3.5 Super VL offers video input.
On our blended benchmark score GPT-6.1 Sol leads 88.8 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), GPT-6.1 Sol on 16 (SQL Generation, Code Review, Code Refactoring and others).
Nemotron 3.5 Super VL was released in October 2026 and GPT-6.1 Sol in September 2026.
Pick Nemotron 3.5 Super VL if you need lower cost or video input; pick GPT-6.1 Sol 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?
| Task | NVIDIA: Nemotron 3.5 Super VL | OpenAI: GPT-6.1 Sol |
|---|---|---|
| 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 | 136 |
| 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 →