Meta: Muse Ember vs NVIDIA: Nemotron 3.5 Super VL (free)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-12.
| Meta: Muse Ember | NVIDIA: Nemotron 3.5 Super VL (free) | |
|---|---|---|
| Vendor | meta | nvidia |
| Quality Score | 100 | 100 |
| Benchmark Score | 56.7 | 17.3 |
| Input Price | $0.10/M | Free |
| Output Price | $0.50/M | Free |
| Context Window | 1,048,576 | 1,000,000 |
| Max Output | 943,718 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | - |
| Benchmark Scores | ||
| ai_index | 59.4 | 22.5 |
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 Muse Ember costs $0.23, so Nemotron 3.5 Super VL (free) is free for the same work.
Both take in a similar amount of text: 1,048,576 and 1,000,000 tokens, about 1,573 and 1,500 pages.
Only Muse Ember offers audio input.
On our blended benchmark score Muse Ember leads 56.7 to 17.3.
Across the 20 tasks where they differ, Muse Ember scores higher on 18 (SQL Generation, Code Review, Code Completion and others), Nemotron 3.5 Super VL (free) on 2 (JSON Extraction, Bulk Data Labeling).
Muse Ember was released in November 2026 and Nemotron 3.5 Super VL (free) in October 2026.
Pick Muse Ember if you need audio input, benchmark performance or the stronger all-round task scores; pick Nemotron 3.5 Super VL (free) 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 | Meta: Muse Ember | NVIDIA: Nemotron 3.5 Super VL (free) |
|---|---|---|
| SQL Generation | 141 | 136 |
| Code Review | 143 | 136 |
| Code Completion | 133 | 132 |
| Code Refactoring | 145 | 139 |
| Bug Fixing | 147 | 140 |
| Unit Test Generation | 131 | 126 |
| Code Documentation | 137 | 134 |
| Regex Writing | 125 | 122 |
| CI/CD Pipelines | 127 | 122 |
| Frontend Component Design | 129 | 124 |
| Data Analysis | 132 | 127 |
| CSV / Spreadsheet Cleanup | 136 | 134 |
| ETL Scripting | 136 | 131 |
| JSON Extraction | 131 | 132 |
| Bulk Data Labeling | 129 | 130 |
| OCR / Document Parsing | 134 | 132 |
| Table Extraction from PDFs | 134 | 132 |
| Long-Document Summarization | 147 | 141 |
| Short-Form Summarization | 126 | 125 |
| Blog Post Writing | 129 | 124 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →