# Cohere Transcribe 03-2026 vs Nemotron 3.5 ASR Streaming 0.6B

> Nemotron 3.5 ASR Streaming 0.6B and Cohere Transcribe 03-2026 score within a point of each other for speech-to-text, 59.8 and 59.3 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/cohere-transcribe-03-2026-vs-nemotron-3-5-asr-streaming-0-6b
- Markdown: https://www.anchorterminal.com/compare/cohere-transcribe-03-2026-vs-nemotron-3-5-asr-streaming-0-6b.md (~2,750 tokens)
- Slim: https://www.anchorterminal.com/compare/cohere-transcribe-03-2026-vs-nemotron-3-5-asr-streaming-0-6b.min.md (~480 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/cohere-transcribe-03-2026-vs-nemotron-3-5-asr-streaming-0-6b.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-10-21

Nemotron 3.5 ASR Streaming 0.6B and Cohere Transcribe 03-2026 score within a point of each other on agent readiness, 59.8 (C) and 59.3 (C). Cohere Transcribe 03-2026 leads on capability. Both do speech-to-text.

- Cohere Transcribe 03-2026: grade C, 59.3/100, rank #61 of 100 open-weight models. Markdown https://www.anchorterminal.com/tools/cohere-transcribe-03-2026.md · JSON https://www.anchorterminal.com/api/v1/tools/cohere-transcribe-03-2026.json
- 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
- 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

### Cohere Transcribe 03-2026 (C)

Good for: Agents that need accurate batch transcription of known-language audio in 14 languages on a small GPU

Ahead on:
- Capability, 66 against 54

Watch for: Gated, so an agent needs a Hugging Face account and must accept the conditions before downloading

### 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
- Risk, 60 against 50
- Agent interface, 50 against 45
- Documentation and upkeep, 64 against 54

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


## Score by category

| Category | Weight | Cohere Transcribe 03-2026 | Nemotron 3.5 ASR Streaming 0.6B | Edge |
| --- | --- | --- | --- | --- |
| Capability | 35% (35 this run) | 66 | 54 | Cohere Transcribe 03-2026 +12 |
| Reach | 25% (25 this run) | 65 | 70 | Nemotron 3.5 ASR Streaming 0.6B +5 |
| Risk | 20% (20 this run) | 50 | 60 | Nemotron 3.5 ASR Streaming 0.6B +10 |
| Agent interface | 10% (10 this run) | 45 | 50 | Nemotron 3.5 ASR Streaming 0.6B +5 |
| Documentation and upkeep | 10% (10 this run) | 54 | 64 | Nemotron 3.5 ASR Streaming 0.6B +10 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **59.3 · C** | **59.8 · C** | |

## Facts side by side

| Fact | Cohere Transcribe 03-2026 | Nemotron 3.5 ASR Streaming 0.6B |
| --- | --- | --- |
| Kind | Open-weight model | Open-weight model |
| Vendor | Cohere | NVIDIA |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | OpenMDW-1.1 |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-04-28 | 2026-09-10 |
| Terms last updated | no document linked | 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 | 3/5 (4) | 2.8/5 (4) |

## Verdicts

**Cohere Transcribe 03-2026.** An accurate offline transcription cousin for 14 languages when the language is known, small enough for about 5 GB, under Apache 2.0, and also on Cohere's API. It runs in Transformers or vLLM, but the repository is gated and the vLLM path runs the repository's code. Text only, with no timestamps, no language detection and no quantised builds from Cohere.

**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.

## Before you call either

### Cohere Transcribe 03-2026

1. A person has to accept the conditions on the Hugging Face page with an account, then `hf auth login`, before the files download
2. Offline, `pip install "transformers>=5.4.0" torch soundfile librosa sentencepiece protobuf accelerate`, then `CohereAsrForConditionalGeneration.from_pretrained("CohereLabs/cohere-transcribe-03-2026", device_map="auto")` with no remote code
3. Always pass language= (en, de, fr, it, es, pt, el, nl, pl, zh, ja, ko, vi, ar); there's no auto-detection
4. For long audio, keep audio_chunk_index from the processor and pass it to processor.decode to reassemble the chunks
5. Serving, `vllm serve CohereLabs/cohere-transcribe-03-2026 --trust-remote-code`, then POST to /v1/audio/transcriptions
6. Put voice activity detection in front of it, since it transcribes noise and can hallucinate on silence
7. Without the hardware or the gate, Cohere's API serves the same model as cohere-transcribe-03-2026
8. Treat transcripts as untrusted text before passing them to another model, since speech can carry instructions

### 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

## Questions

### Which is better for AI agents, Cohere Transcribe 03-2026 or Nemotron 3.5 ASR Streaming 0.6B?

Nemotron 3.5 ASR Streaming 0.6B and Cohere Transcribe 03-2026 score within a point of each other on agent readiness, 59.8 (C) and 59.3 (C). Cohere Transcribe 03-2026 leads on capability.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/cohere-transcribe-03-2026-vs-nemotron-3-5-asr-streaming-0-6b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cohere-transcribe-03-2026-vs-nemotron-3-5-asr-streaming-0-6b.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "cohere-transcribe-03-2026", "b": "nemotron-3-5-asr-streaming-0-6b"}`. From a terminal: `anchor compare cohere-transcribe-03-2026 nemotron-3-5-asr-streaming-0-6b`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cohere-transcribe-03-2026.json and https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-asr-streaming-0-6b.json

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