Model comparison
Cohere Transcribe vs GPT-5
Capability radar, value bars, and side-by-side posture.
Cohere Transcribe
Not scored
value score
GPT-5
94
value score
Cohere Transcribe ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | Cohere Transcribe | GPT-5 |
|---|---|---|
| Developer | Cohere Labs | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| 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 frontier multimodal model. |