Model comparison
Cohere Transcribe vs o3
Capability radar, value bars, and side-by-side posture.
Cohere Transcribe
Not scored
value score
o3
93
value score
Cohere Transcribe ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | Cohere Transcribe | o3 |
|---|---|---|
| Developer | Cohere Labs | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | Cohere Transcribe is an open-source 2B-parameter automatic speech recognition model released by Cohere Labs that converts spoken audio to text across 14 languages. It is built on a Conformer-based encoder-decoder architecture and released under Apache 2.0, targeting developers building transcription pipelines for meetings, calls, and media. | OpenAI reasoning model focused on hard problems. |