# Nemotron 3.5 Transcribe 30B-A4B vs Parakeet Unified EN 0.6B (slim)

> Nemotron 3.5 Transcribe 30B-A4B scores 61 (C) to Parakeet Unified EN 0.6B's 47.5 (D) 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-unified-en-0-6b.md (~4,000 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/nemotron-3-5-transcribe-30b-a4b-vs-parakeet-unified-en-0-6b.json · canonical https://www.anchorterminal.com/compare/nemotron-3-5-transcribe-30b-a4b-vs-parakeet-unified-en-0-6b
- 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 3.5 Transcribe 30B-A4B scores 61 (C) on agent readiness against Parakeet Unified EN 0.6B's 47.5 (D), and leads in 3 of 4 scored categories. 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 Unified EN 0.6B: D 47.5, rank #154 of 160 open-weight models · https://www.anchorterminal.com/tools/parakeet-unified-en-0-6b.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 50; Risk, 75 against 35; Agent interface, 85 against 35.
- Parakeet Unified EN 0.6B, good for English voice agents and captioning that want one small model for both recorded and live audio and already run NeMo

| Category | Nemotron 3.5 Transcribe 30B-A4B | Parakeet Unified EN 0.6B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 50 |
| Risk (20%) | 75 | 35 |
| Agent interface (10%) | 85 | 35 |
| Documentation and upkeep (10%) | 77 | 79 |

| Fact (where they differ) | Nemotron 3.5 Transcribe 30B-A4B | Parakeet Unified EN 0.6B |
| --- | --- | --- |
| Licence | OpenMDW-1.1 | NVIDIA Open Model License |
| Last release | 2026-10-29 | 2026-06-09 |
| Terms last updated | not read yet | 2025-10-24 |
| Customer content may train models | not read yet | yes |
| 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 |

Why the edge:
- Agent interface, Nemotron 3.5 Transcribe 30B-A4B +50: 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 Unified EN 0.6B 35 (Chat template 0, no chat template and no prompt.)
- Risk, Nemotron 3.5 Transcribe 30B-A4B +40: 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 Unified EN 0.6B 35 (File safety 0, the only weights file is parakeet-unified-en-0.6b.nemo, a NeMo archive whose weights are a PyTorch checkpoint read with torch.load, a pickle form…)
- Reach, Nemotron 3.5 Transcribe 30B-A4B +25: 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 Unified EN 0.6B 50 (Memory 30, the only build is the FP32 NeMo archive, 2.47 GB, and 2.47 GB × 1.2 = 3.0 GB, under 16 GB.)