Cohere Transcribe (03-2026)
Cohere Transcribe (03-2026) is a released vision model with open-source; evaluate it while provider pricing coverage matures.
- Family
- Cohere Transcribe
- Released
- 2026-03-01
- Parameters
- 2B
- Architecture
- Conformer
- Specialization
- speech-recognition
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
No tracked provider token pricing is available yet.
About
Cohere's state-of-the-art automatic speech recognition (ASR) model. Transcribe is a 2B parameter Conformer-based encoder-decoder model trained from scratch for high-fidelity transcription across 14 languages: English, French, German, Italian, Spanish, Portuguese, Greek, Dutch, Polish, Chinese (Mandarin), Japanese, Korean, Vietnamese, and Arabic. Can process 525 minutes of audio per minute. Achieves 5.42 WER on Hugging Face Open ASR leaderboard.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
Benchmark peer barsfor Vision
No task-mapped benchmark peers are available for this model yet.
Benchmark scores(2)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| LibriSpeech WER (test-clean) | 1.3 | test-cleanObserved 2026-03-07 | — | Source |
| Open ASR Leaderboard (average WER) | 5.4 | avg-11-datasetsObserved 2026-03-07 | — | Source |
Migration checks
No linked migration route is available for this model yet.
No tracked provider token pricing is available yet.