OpenAI: GPT-5.6 Luna vs NVIDIA: Nemotron 3 Nano Omni (free)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-5.6 Luna | NVIDIA: Nemotron 3 Nano Omni (free) | |
|---|---|---|
| Vendor | openai | nvidia |
| Quality Score | 100 | 100 |
| Benchmark Score | 89.4 | - |
| Input Price | $0.20/M | Free |
| Output Price | $1.20/M | Free |
| Context Window | 1,050,000 | 256,000 |
| Max Output | 128,000 | 65,536 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | - |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
| Benchmark Scores | ||
| ai_index | 84.5 | - |
| ai_index_agentic | 75.2 | - |
| ai_index_coding | 100.0 | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Nemotron 3 Nano Omni (free) costs $0 and GPT-5.6 Luna costs $0.50, so Nemotron 3 Nano Omni (free) is free for the same work.
GPT-5.6 Luna reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 384 pages for Nemotron 3 Nano Omni (free).
Only GPT-5.6 Luna offers structured output; only Nemotron 3 Nano Omni (free) offers audio input and video input.
Across the 20 tasks where they differ, GPT-5.6 Luna scores higher on 20 (SQL Generation, Code Review, Code Completion and others).
GPT-5.6 Luna was released in July 2026 and Nemotron 3 Nano Omni (free) in April 2026.
Pick GPT-5.6 Luna if you need long documents, structured output or the stronger all-round task scores; pick Nemotron 3 Nano Omni (free) if you need lower cost, audio input or video input.
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-5.6 Luna | NVIDIA: Nemotron 3 Nano Omni (free) |
|---|---|---|
| SQL Generation | 171 | 123 |
| Code Review | 166 | 122 |
| Code Completion | 133 | 129 |
| Code Refactoring | 163 | 123 |
| Bug Fixing | 179 | 130 |
| Unit Test Generation | 154 | 113 |
| Code Documentation | 143 | 126 |
| Regex Writing | 136 | 120 |
| CI/CD Pipelines | 144 | 113 |
| Frontend Component Design | 146 | 118 |
| Data Analysis | 170 | 120 |
| CSV / Spreadsheet Cleanup | 154 | 116 |
| ETL Scripting | 154 | 118 |
| JSON Extraction | 149 | 120 |
| Bulk Data Labeling | 135 | 126 |
| OCR / Document Parsing | 146 | 120 |
| Table Extraction from PDFs | 146 | 120 |
| Long-Document Summarization | 159 | 129 |
| Short-Form Summarization | 132 | 124 |
| Blog Post Writing | 140 | 119 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →