# Cohere Transcribe 03-2026 vs Nemotron 3.5 Transcribe 30B-A4B (slim)

> Nemotron 3.5 Transcribe 30B-A4B and Cohere Transcribe 03-2026 score within a point of each other for speech-to-text, 61 and 60.3 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/cohere-transcribe-03-2026-vs-nemotron-3-5-transcribe-30b-a4b.md (~4,400 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/cohere-transcribe-03-2026-vs-nemotron-3-5-transcribe-30b-a4b.json · canonical https://www.anchorterminal.com/compare/cohere-transcribe-03-2026-vs-nemotron-3-5-transcribe-30b-a4b
- 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 and Cohere Transcribe 03-2026 score within a point of each other on agent readiness, 61 (C) and 60.3 (C). Both do speech-to-text.

- Cohere Transcribe 03-2026: C 60.3, rank #89 of 160 open-weight models · https://www.anchorterminal.com/tools/cohere-transcribe-03-2026.min.md
- 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
- Cohere Transcribe 03-2026, good for Agents that need accurate batch transcription of known-language audio in 14 languages on a small GPU
- 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 50; Agent interface, 85 against 45; Documentation and upkeep, 77 against 64.

| Category | Cohere Transcribe 03-2026 | Nemotron 3.5 Transcribe 30B-A4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 75 |
| Risk (20%) | 50 | 75 |
| Agent interface (10%) | 45 | 85 |
| Documentation and upkeep (10%) | 64 | 77 |

| Fact (where they differ) | Cohere Transcribe 03-2026 | Nemotron 3.5 Transcribe 30B-A4B |
| --- | --- | --- |
| Vendor | Cohere | NVIDIA |
| Licence | Apache-2.0 | OpenMDW-1.1 |
| llms.txt | yes | no |
| Last release | 2026-04-28 | 2026-10-29 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Agent interface, Nemotron 3.5 Transcribe 30B-A4B +40: Cohere Transcribe 03-2026 45 (Read for a speech model, the tool-calling, trained tool calling and structured-output lines stand for what it takes and returns.); 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.)
- Risk, Nemotron 3.5 Transcribe 30B-A4B +25: Cohere Transcribe 03-2026 50 (File safety gets 15, safetensors only but served in vLLM with --trust-remote-code as the card documents.); 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.)
- Documentation and upkeep, Nemotron 3.5 Transcribe 30B-A4B +13: Cohere Transcribe 03-2026 64 (The public card covers intended use, limitations, architecture, parameters and languages, without a context length or cut-off (14).); 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…)
- Reach, Nemotron 3.5 Transcribe 30B-A4B +10: Cohere Transcribe 03-2026 65 (Memory earns 30, since the BF16 file is 4.13 GB and needs about 5 GB.); 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.)