NVIDIA: Nemotron 3.5 Super VL vs Meta: Muse Wonder
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.
| NVIDIA: Nemotron 3.5 Super VL | Meta: Muse Wonder | |
|---|---|---|
| Vendor | nvidia | meta |
| Quality Score | 100 | 100 |
| Benchmark Score | 40.1 | 89.9 |
| Input Price | $0.10/M | $4.00/M |
| Output Price | $0.40/M | $20.00/M |
| Context Window | 1,048,576 | 1,048,576 |
| Max Output | 235,929 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
| Benchmark Scores | ||
| ai_index | 43.7 | 86.4 |
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 Muse Wonder costs $9.00, so Nemotron 3.5 Super VL is about 45.0 times cheaper for the same work.
Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.
Only Muse Wonder offers audio input.
On our blended benchmark score Muse Wonder leads 89.9 to 40.1.
Across the 20 tasks where they differ, Nemotron 3.5 Super VL scores higher on 7 (Code Completion, Code Documentation, Regex Writing and others), Muse Wonder on 13 (SQL Generation, Code Review, Code Refactoring and others).
Pick Nemotron 3.5 Super VL if you need lower cost; pick Muse Wonder if you need audio input or benchmark performance.
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 | Meta: Muse Wonder |
|---|---|---|
| SQL Generation | 139 | 142 |
| Code Review | 140 | 148 |
| Code Completion | 132 | 116 |
| Code Refactoring | 143 | 149 |
| Bug Fixing | 144 | 152 |
| Unit Test Generation | 129 | 134 |
| Code Documentation | 135 | 135 |
| Regex Writing | 124 | 123 |
| CI/CD Pipelines | 125 | 130 |
| Frontend Component Design | 127 | 132 |
| Data Analysis | 130 | 137 |
| CSV / Spreadsheet Cleanup | 135 | 135 |
| ETL Scripting | 134 | 140 |
| JSON Extraction | 131 | 119 |
| Bulk Data Labeling | 129 | 114 |
| OCR / Document Parsing | 133 | 135 |
| Table Extraction from PDFs | 133 | 135 |
| Long-Document Summarization | 144 | 149 |
| Short-Form Summarization | 126 | 115 |
| Blog Post Writing | 127 | 130 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →