Model comparison
Cohere Transcribe vs Claude 4 Sonnet
Capability radar, value bars, and side-by-side posture.
Cohere Transcribe
Not scored
value score
Claude 4 Sonnet
91
value score
Cohere Transcribe ctx
—
Claude 4 Sonnet ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Claude 4 Sonnet91
Attribute tape
| Field | Cohere Transcribe | Claude 4 Sonnet |
|---|---|---|
| Developer | Cohere Labs | Anthropic |
| Context | — | 200K |
| Modalities | Text, Code, Image | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | $3/1M in · $15/1M out |
| Value score | — | 91 |
| 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. | Balanced Claude model for coding and agents. |