NVIDIA: Nemotron 3.5 Super VL vs OpenAI: GPT-6 Luna Pro (batch)
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 Luna Pro (batch) | |
|---|---|---|
| Vendor | nvidia | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 40.1 | - |
| Input Price | $0.10/M | $0.05/M |
| Output Price | $0.40/M | $0.25/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 | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna Pro (batch) costs $0.11 and Nemotron 3.5 Super VL costs $0.20, so GPT-6 Luna Pro (batch) is about 1.8 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.
Across the 19 tasks where they differ, Nemotron 3.5 Super VL scores higher on 18 (SQL Generation, Code Review, Code Completion and others), GPT-6 Luna Pro (batch) on 1 (Bulk Data Labeling).
Nemotron 3.5 Super VL was released in October 2026 and GPT-6 Luna Pro (batch) in September 2026.
Pick Nemotron 3.5 Super VL if you need video input or the stronger all-round task scores; pick GPT-6 Luna Pro (batch) if you need lower cost.
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 Luna Pro (batch) |
|---|---|---|
| SQL Generation | 139 | 134 |
| Code Review | 140 | 132 |
| Code Completion | 132 | 131 |
| Code Refactoring | 143 | 136 |
| Bug Fixing | 144 | 136 |
| Unit Test Generation | 129 | 124 |
| Code Documentation | 135 | 131 |
| Regex Writing | 124 | 119 |
| CI/CD Pipelines | 125 | 120 |
| Frontend Component Design | 127 | 122 |
| Data Analysis | 130 | 124 |
| CSV / Spreadsheet Cleanup | 135 | 134 |
| ETL Scripting | 134 | 128 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 133 | 131 |
| Table Extraction from PDFs | 133 | 131 |
| Long-Document Summarization | 144 | 138 |
| Short-Form Summarization | 126 | 123 |
| Blog Post Writing | 127 | 122 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →