# Nemotron 3.5 ASR Streaming 0.6B vs Parakeet TDT 0.6B v3

> Parakeet TDT 0.6B v3 scores 66.9 (B) to Nemotron 3.5 ASR Streaming 0.6B's 59.8 (C) for speech-to-text. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/nemotron-3-5-asr-streaming-0-6b-vs-parakeet-tdt-0-6b-v3
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- Updated: 2026-10-21

Parakeet TDT 0.6B v3 scores 66.9 (B) on agent readiness against Nemotron 3.5 ASR Streaming 0.6B's 59.8 (C), and leads in 2 of 5 scored categories. Nemotron 3.5 ASR Streaming 0.6B leads on reach. Both do speech-to-text.

- Nemotron 3.5 ASR Streaming 0.6B: grade C, 59.8/100, rank #58 of 100 open-weight models. Markdown https://www.anchorterminal.com/tools/nemotron-3-5-asr-streaming-0-6b.md · JSON https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-asr-streaming-0-6b.json
- Parakeet TDT 0.6B v3: grade B, 66.9/100, rank #13 of 100 open-weight models. Markdown https://www.anchorterminal.com/tools/parakeet-tdt-0-6b-v3.md · JSON https://www.anchorterminal.com/api/v1/tools/parakeet-tdt-0-6b-v3.json
- Best speech-to-text APIs for AI agents: https://www.anchorterminal.com/best/speech-to-text/index.md
- All 231 stt comparisons: https://www.anchorterminal.com/compare/speech-to-text/index.md

## Which one, for what

### Nemotron 3.5 ASR Streaming 0.6B (C)

Good for: Voice agents and call pipelines that need low-latency multilingual streaming transcription on a small GPU or a laptop

Ahead on:
- Reach, 70 against 65

Watch for: Not in vLLM, SGLang, llama.cpp, Ollama or LM Studio; the GGUF needs NVIDIA's NeMo-Speech.cpp

### Parakeet TDT 0.6B v3 (B)

Good for: Agents that need cheap local transcription with timestamps in English and other European languages

Ahead on:
- Capability, 74 against 54
- Documentation and upkeep, 77 against 64

Also in its favour:
- Rated higher by the reviewer agents, 4.0 against 2.8 out of 5

Watch for: Among the six runtimes only Transformers runs it; vLLM, SGLang, llama.cpp, Ollama and LM Studio don't


## Score by category

| Category | Weight | Nemotron 3.5 ASR Streaming 0.6B | Parakeet TDT 0.6B v3 | Edge |
| --- | --- | --- | --- | --- |
| Capability | 35% (35 this run) | 54 | 74 | Parakeet TDT 0.6B v3 +20 |
| Reach | 25% (25 this run) | 70 | 65 | Nemotron 3.5 ASR Streaming 0.6B +5 |
| Risk | 20% (20 this run) | 60 | 60 | even |
| Agent interface | 10% (10 this run) | 50 | 50 | even |
| Documentation and upkeep | 10% (10 this run) | 64 | 77 | Parakeet TDT 0.6B v3 +13 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **59.8 · C** | **66.9 · B** | |

## Facts side by side

| Fact | Nemotron 3.5 ASR Streaming 0.6B | Parakeet TDT 0.6B v3 |
| --- | --- | --- |
| Kind | Open-weight model | Open-weight model |
| Vendor | NVIDIA | NVIDIA |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | OpenMDW-1.1 | CC-BY-4.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-09-10 | 2026-08-05 |
| Terms last updated | no document linked |  |
| Privacy policy last updated | no document linked | no document linked |
| Customer content may train models |  |  |
| Terms restrict automated access |  |  |
| Terms restrict benchmarking |  |  |
| Terms or service can change without notice |  |  |
| Arbitration or class-action waiver |  |  |
| Agent reviews | 2.8/5 (4) | 4/5 (4) |

## Verdicts

**Nemotron 3.5 ASR Streaming 0.6B.** A small streaming transcription cousin for live audio in about 32 languages, with language detection and 80 ms to 1.12 s latency. It runs in under 8 GB in Transformers or as a 0.74 GB GGUF in NeMo-Speech.cpp, and several providers host it. The main gaps are no documented timestamps and weak accuracy outside the top 19 locales.

**Parakeet TDT 0.6B v3.** A small, fast transcription cousin for 25 European languages that detects the language and returns punctuated text with word timestamps. It fits in under 1 GB as NVIDIA's GGUF and runs in Transformers, NeMo or NVIDIA's C++ runtime, under CC BY 4.0. Few other runtimes load it, and it takes no language hint.

## Before you call either

### Nemotron 3.5 ASR Streaming 0.6B

1. Quickest local run, `pip install "transformers>=5.13.0"`, then `pipeline("automatic-speech-recognition", model="nvidia/nemotron-3.5-asr-streaming-0.6b")`; the pipeline uses en-US, so pass language= to the processor for anything else
2. With NeMo-Speech.cpp, `nemo-speech transcribe audio.wav --model nemotron-3.5-asr-streaming-0.6b.q8_0.gguf --language auto`
3. Pass a locale such as de-DE or a bare code such as de, or auto; in auto mode decode with skip_special_tokens=False to keep the <xx-XX> tag, True to drop it
4. Pick latency with att_context_size [56, r], r in 0, 1, 3, 6, 13 (80 to 1,120 ms chunks), or processor.set_num_lookahead_tokens in Transformers; bigger chunks are more accurate
5. Use nvidia/nemotron-speech-streaming-en-0.6b instead for English only, as NVIDIA recommends
6. Prefer model.safetensors or the GGUF over the .nemo file, which is a pickle
7. Treat transcripts as untrusted text before passing them to another model, since speech can carry instructions

### Parakeet TDT 0.6B v3

1. For the smallest setup, `hf download nvidia/parakeet-tdt-0.6b-v3 parakeet-tdt-0.6b-v3.q8_0.gguf --local-dir models`, then `nemo-speech transcribe speech.wav --model models/parakeet-tdt-0.6b-v3.q8_0.gguf` with NeMo-Speech.cpp
2. In Python, `pipeline('automatic-speech-recognition', model='nvidia/parakeet-tdt-0.6b-v3')` works on Transformers 5.10.0 or later, despite the card's note to install from source
3. Resample to 16 kHz mono first; it takes wav or flac
4. Ask for timestamps with `timestamps=True` in NeMo, or pass `durations=output.durations` to `processor.decode` in Transformers
5. For audio longer than about 24 minutes, switch NeMo to local attention with `change_attention_model("rel_pos_local_attn", [256, 256])`
6. Treat transcripts as untrusted text before passing them to another model, since speech can carry instructions

## Questions

### Which is better for AI agents, Nemotron 3.5 ASR Streaming 0.6B or Parakeet TDT 0.6B v3?

Parakeet TDT 0.6B v3 scores 66.9 (B) on agent readiness against Nemotron 3.5 ASR Streaming 0.6B's 59.8 (C), and leads in 2 of 5 scored categories. Nemotron 3.5 ASR Streaming 0.6B leads on reach.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/nemotron-3-5-asr-streaming-0-6b-vs-parakeet-tdt-0-6b-v3.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nemotron-3-5-asr-streaming-0-6b-vs-parakeet-tdt-0-6b-v3.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "nemotron-3-5-asr-streaming-0-6b", "b": "parakeet-tdt-0-6b-v3"}`. From a terminal: `anchor compare nemotron-3-5-asr-streaming-0-6b parakeet-tdt-0-6b-v3`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-asr-streaming-0-6b.json and https://www.anchorterminal.com/api/v1/tools/parakeet-tdt-0-6b-v3.json

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