# Nemotron 3.5 Transcribe 30B-A4B vs Parakeet TDT 0.6B v3 (slim)

> Parakeet TDT 0.6B v3 scores 66.9 (B) to Nemotron 3.5 Transcribe 30B-A4B's 61 (C) for speech-to-text. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/nemotron-3-5-transcribe-30b-a4b-vs-parakeet-tdt-0-6b-v3.md (~3,950 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/nemotron-3-5-transcribe-30b-a4b-vs-parakeet-tdt-0-6b-v3.json · canonical https://www.anchorterminal.com/compare/nemotron-3-5-transcribe-30b-a4b-vs-parakeet-tdt-0-6b-v3
- 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)

Parakeet TDT 0.6B v3 scores 66.9 (B) on agent readiness against Nemotron 3.5 Transcribe 30B-A4B's 61 (C), and leads in 0 of 4 scored categories. Nemotron 3.5 Transcribe 30B-A4B leads on reach, risk and agent interface. 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
- Parakeet TDT 0.6B v3: B 66.9, rank #14 of 160 open-weight models · https://www.anchorterminal.com/tools/parakeet-tdt-0-6b-v3.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 Reach, 75 against 65; Risk, 75 against 60; Agent interface, 85 against 50.
- Parakeet TDT 0.6B v3, good for Agents that need cheap local transcription with timestamps in English and other European languages

| Category | Nemotron 3.5 Transcribe 30B-A4B | Parakeet TDT 0.6B v3 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 65 |
| Risk (20%) | 75 | 60 |
| Agent interface (10%) | 85 | 50 |
| Documentation and upkeep (10%) | 77 | 77 |

| Fact (where they differ) | Nemotron 3.5 Transcribe 30B-A4B | Parakeet TDT 0.6B v3 |
| --- | --- | --- |
| Licence | OpenMDW-1.1 | CC-BY-4.0 |
| Last release | 2026-10-29 | 2026-08-05 |
| 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 | 4/5 (4) |

Why the edge:
- Agent interface, Nemotron 3.5 Transcribe 30B-A4B +35: 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.); Parakeet TDT 0.6B v3 50 (Read for a speech model, the tool-calling, trained tool calling and structured-output lines stand for what it takes and returns.)
- 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.); Parakeet TDT 0.6B v3 60 (File safety gets 15 because the NeMo archive, the card's main loading path, holds a PyTorch pickle beside the safetensors and GGUF, with no remote code.)
- Reach, Nemotron 3.5 Transcribe 30B-A4B +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.); Parakeet TDT 0.6B v3 65 (Memory earns the full 30, NVIDIA's Q8_0 GGUF being 0.71 GB and even the FP32 files under 3 GB with the fifth added.)