OpenAI: GPT-6.1 Terra vs NVIDIA: Nemotron 3.5 Super VL (free)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-02.
| OpenAI: GPT-6.1 Terra | NVIDIA: Nemotron 3.5 Super VL (free) | |
|---|---|---|
| Vendor | openai | nvidia |
| Quality Score | 100 | 100 |
| Input Price | $1.00/M | Free |
| Output Price | $5.00/M | Free |
| Context Window | 1,050,000 | 1,000,000 |
| Max Output | 128,000 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
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 GPT-6.1 Terra costs $2.25, so Nemotron 3.5 Super VL (free) is free for the same work.
Both take in a similar amount of text: 1,050,000 and 1,000,000 tokens, about 1,575 and 1,500 pages.
Only Nemotron 3.5 Super VL (free) offers video input.
Across the 10 tasks where they differ, Nemotron 3.5 Super VL (free) on 10 (SQL Generation, Code Completion, Code Documentation and others).
Pick Nemotron 3.5 Super VL (free) if you need lower cost, 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?
| Task | OpenAI: GPT-6.1 Terra | NVIDIA: Nemotron 3.5 Super VL (free) |
|---|---|---|
| SQL Generation | 133 | 134 |
| Code Completion | 118 | 132 |
| Code Documentation | 130 | 132 |
| Regex Writing | 118 | 120 |
| CSV / Spreadsheet Cleanup | 133 | 134 |
| JSON Extraction | 122 | 132 |
| Bulk Data Labeling | 120 | 130 |
| Long-Document Summarization | 137 | 138 |
| Short-Form Summarization | 114 | 124 |
| Blog Post Writing | 121 | 122 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →