# Nemotron 3.5 Transcribe 30B-A4B vs Nemotron 3 Nano Omni 30B A3B Reasoning (slim)

> Nemotron 3 Nano Omni 30B A3B Reasoning and Nemotron 3.5 Transcribe 30B-A4B score within a point of each other for speech-to-text, 61.2 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/nemotron-3-5-transcribe-30b-a4b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md (~9,250 tokens) · this version ~980 tokens · JSON https://www.anchorterminal.com/compare/nemotron-3-5-transcribe-30b-a4b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.json · canonical https://www.anchorterminal.com/compare/nemotron-3-5-transcribe-30b-a4b-vs-nemotron-3-nano-omni-30b-a3b-reasoning
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Nemotron 3 Nano Omni 30B A3B Reasoning and Nemotron 3.5 Transcribe 30B-A4B score within a point of each other on agent readiness, 61.2 (C) and 61 (C). Nemotron 3.5 Transcribe 30B-A4B leads on risk and documentation and upkeep. Both do speech-to-text.

- Nemotron 3.5 Transcribe 30B-A4B: C 61, rank #79 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-5-transcribe-30b-a4b.min.md
- Nemotron 3 Nano Omni 30B A3B Reasoning: C 61.2, rank #36 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning.min.md
- Nemotron 3.5 Transcribe 30B-A4B, good for Teams that need accurate multilingual transcripts of long recordings with speakers and timings, and have a 32 GB GPU or better Ahead on Risk, 75 against 60; Documentation and upkeep, 77 against 70.
- Nemotron 3 Nano Omni 30B A3B Reasoning, good for Agents with a 32 to 48 GB NVIDIA GPU that need one local model to read video, audio, documents and screens and call tools Ahead on Reach, 85 against 75; Agent interface, 90 against 85.

| Category | Nemotron 3.5 Transcribe 30B-A4B | Nemotron 3 Nano Omni 30B A3B Reasoning |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 85 |
| Risk (20%) | 75 | 60 |
| Agent interface (10%) | 85 | 90 |
| Documentation and upkeep (10%) | 77 | 70 |

| Fact (where they differ) | Nemotron 3.5 Transcribe 30B-A4B | Nemotron 3 Nano Omni 30B A3B Reasoning |
| --- | --- | --- |
| Licence | OpenMDW-1.1 | NVIDIA Open Model Agreement (custom, commercial use allowed, not an OSI licence) |
| Last release | 2026-10-29 | 2026-08-24 |
| Terms last updated | not read yet | no date given |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Risk, Nemotron 3.5 Transcribe 30B-A4B +15: Nemotron 3.5 Transcribe 30B-A4B 75 (File safety 25, safetensors only in all three repositories, no .bin, .pt or .pth files and no Python.); Nemotron 3 Nano Omni 30B A3B Reasoning 60 (File safety gets 15, safetensors only but loaded with trust_remote_code.)
- Reach, Nemotron 3 Nano Omni 30B A3B Reasoning +10: Nemotron 3.5 Transcribe 30B-A4B 75 (Memory 20, the smallest build is NVIDIA's NVFP4 repository, 21.56 GB, and 21.56 GB × 1.2 = 25.9 GB, within 32 GB.); Nemotron 3 Nano Omni 30B A3B Reasoning 85 (Memory earns 20 because the smallest 4-bit builds, Ollama's NVFP4 at 21 GB and NVIDIA's NVFP4 at 22.4 GB, need about 25 to 27 GB with the fifth added, which fit…)
- Documentation and upkeep, Nemotron 3.5 Transcribe 30B-A4B +7: Nemotron 3.5 Transcribe 30B-A4B 77 (Model card 17, Intended use, limitations (the explainability subcard's technical limitations), the architecture, the parameters, the context and the languages a…); Nemotron 3 Nano Omni 30B A3B Reasoning 70 (The card covers all seven fields, reading the 2019 to 2025 data collection period as the cut-off (20).)
- Agent interface, Nemotron 3 Nano Omni 30B A3B Reasoning +5: Nemotron 3.5 Transcribe 30B-A4B 85 (Chat template 20, chat_template.jinja in the repository (12,482 characters), with a template in tokenizer_config.json too.); Nemotron 3 Nano Omni 30B A3B Reasoning 90 (A Jinja template ships in the repository (20).)