LLM Reference

Cohere Transcribe (03-2026)

Released
2026-03-01
Last refreshed
2026-07-01
Status
Researched 1d ago
Open sourceCommercial use: permittedMultimodalVision

Cohere Transcribe (03-2026) is a released vision model with open-source; evaluate it while provider pricing coverage matures.

Use it for

  • Teams evaluating vision

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Strict JSON or tool-calling flows
  • Teams that need a tracked hosted API route today
Specifications
Released
2026-03-01
Parameters
2B
Architecture
Conformer
Specialization
speech-recognition
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Created by

Empowering developers with advanced language AI.

Toronto, Ontario, Canada
Founded 2022
Website
Pricing

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.

Cohere Transcribe (03-2026) is an open-source model in the Cohere Transcribe family. The structured metadata tracks multimodal input and audio. Headline tracked benchmarks include LibriSpeech WER (test-clean) 1.3 and Open ASR Leaderboard (average WER) 5.4.

Top use-case fit

Vision

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

MultimodalAudio

Benchmark peer barsfor Vision

No task-mapped benchmark peers are available for this model yet.

Benchmark scores(2)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
LibriSpeech WER (test-clean)1.3test-cleanhttps://cohere.com/blog/transcribe
Open ASR Leaderboard (average WER)5.4avg-11-datasetshttps://huggingface.co/spaces/hf-audio/open_asr_leaderboard

Migration checks

No linked migration route is available for this model yet.

Frequently asked questions

When was Cohere Transcribe (03-2026) released?

Cohere Transcribe (03-2026) was released on 2026-03-01.

What benchmarks has Cohere Transcribe (03-2026) been tested on?

Cohere Transcribe (03-2026) has been evaluated on 2 benchmarks, including LibriSpeech WER (test-clean), Open ASR Leaderboard (average WER).