LLM Reference

Cohere Transcribe Arabic (07-2026)

Released
2026-07-07
Last refreshed
2026-07-13
Status
Researched 45d ago
Open sourceCommercial use: permittedMultimodalVision

Cohere Transcribe Arabic (07-2026) 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
2026-07-07
Parameters
2B
Specialization
speech-recognition
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Training
Fine-tuned
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 Transcribe Arabic is Cohere's named 2B Arabic/English automatic speech-recognition model: an audio-in, text-out fine-tune of Cohere Transcribe for Arabic dialects and Arabic-English code-switching. It is not a general text-generation model.

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

MultimodalAudioFine-tuning

Benchmark peer barsfor Vision

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

Benchmark scores(1)

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.
BenchmarkScoreVersionEvaluationSource
Open Universal Arabic ASR Leaderboard (average WER)25.9six-test-set average WER; leaderboard snapshot accessed 2026-07-13Observed 2026-07-13Source

Migration checks

No linked migration route is available for this model yet.