NVIDIA: Nemotron 3 Nano Omni (free) vs Anthropic: Claude Sonnet 4.6
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| NVIDIA: Nemotron 3 Nano Omni (free) | Anthropic: Claude Sonnet 4.6 | |
|---|---|---|
| Vendor | nvidia | anthropic |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 80.1 |
| Input Price | Free | $3.00/M |
| Output Price | Free | $15.00/M |
| Context Window | 256,000 | 1,000,000 |
| Max Output | 65,536 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | - | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | - |
| Benchmark Scores | ||
| ai_index | - | 77.9 |
| ai_index_agentic | - | 67.3 |
| ai_index_coding | - | 100.0 |
| aider_polyglot | - | 61.3 |
| eqbench | - | 68.4 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Nemotron 3 Nano Omni (free) costs $0 and Claude Sonnet 4.6 costs $6.75, so Nemotron 3 Nano Omni (free) is free for the same work.
Claude Sonnet 4.6 reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 384 pages for Nemotron 3 Nano Omni (free).
Only Nemotron 3 Nano Omni (free) offers audio input and video input; only Claude Sonnet 4.6 offers structured output.
Across the 20 tasks where they differ, Nemotron 3 Nano Omni (free) scores higher on 2 (Code Completion, Bulk Data Labeling), Claude Sonnet 4.6 on 18 (SQL Generation, Code Review, Code Refactoring and others).
Nemotron 3 Nano Omni (free) was released in April 2026 and Claude Sonnet 4.6 in February 2026.
Pick Nemotron 3 Nano Omni (free) if you need lower cost, audio input or video input; pick Claude Sonnet 4.6 if you need long documents, structured output 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 | NVIDIA: Nemotron 3 Nano Omni (free) | Anthropic: Claude Sonnet 4.6 |
|---|---|---|
| SQL Generation | 123 | 183 |
| Code Review | 122 | 183 |
| Code Completion | 129 | 120 |
| Code Refactoring | 123 | 179 |
| Bug Fixing | 130 | 196 |
| Unit Test Generation | 113 | 166 |
| Code Documentation | 126 | 148 |
| Regex Writing | 120 | 139 |
| CI/CD Pipelines | 113 | 155 |
| Frontend Component Design | 118 | 154 |
| Data Analysis | 120 | 183 |
| CSV / Spreadsheet Cleanup | 116 | 163 |
| ETL Scripting | 118 | 167 |
| JSON Extraction | 120 | 142 |
| Bulk Data Labeling | 126 | 124 |
| OCR / Document Parsing | 120 | 152 |
| Table Extraction from PDFs | 120 | 152 |
| Long-Document Summarization | 129 | 172 |
| Short-Form Summarization | 124 | 124 |
| Blog Post Writing | 119 | 147 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →