Cohere

8 releases covered on ThursdAI · cohere.com ↗

July 2026

Cohere
New ModelsOpen weights

Transcribe Arabic

Cohere open-sources Transcribe Arabic, topping the Arabic ASR leaderboard

A 2B-parameter Apache 2.0 speech-to-text model that leads the Hugging Face Arabic ASR leaderboard at 25.87 WER — about 11 points better than Whisper Large V3 — with human evaluators preferring it in roughly 96% of head-to-head tests. Handles dialect variety, code-switching and Arabic-English bilingual speech, with day-0 mlx-audio support.

25.87 WER (leaderboard #1)2B Parameters, Apache 2.096% Human preference vs Whisper
X announcement ↗
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#voice-ai#open-source#multilingual

May 2026

Cohere
New ModelsOpen weights

Command A+

Cohere releases Command A+, a 218B Apache 2.0 MoE with 25B active params

Cohere released Command A+, a 218B-parameter mixture-of-experts model with 25B active parameters, shipping open weights under Apache 2.0. It was the week's headline open-source release, available on Hugging Face in both W4A4 quantized and BF16 variants.

218B Command A+ parameters25B active parameters
Cohere blog ↗Nick Frosst ↗HF W4A4 ↗HF BF16 ↗
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#open-source#architecture

March 2026

Cohere
New ModelsOpen weights

Cohere Transcribe

Cohere Transcribe: open-source 2B ASR tops Open ASR Leaderboard at 5.42% WER

Cohere entered the ASR game with Transcribe, a 2-billion-parameter Apache 2.0 speech recognition model that immediately took the number-one spot on Hugging Face's Open ASR Leaderboard with a 5.42% word error rate versus Whisper Large v3's 7.44%. It wins 61% of human evaluations on average and 64% head-to-head against Whisper, making it a credible local-inference Whisper replacement for regulated industries.

2B Cohere Transcribe ASR size5.42% Word error rate on Open ASR Leaderboard
Cohere announcement (X) ↗Cohere blog: Transcribe ↗Open ASR Leaderboard (Hugging Face) ↗
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#voice-ai#open-source

February 2026

Cohere Labs
New ModelsOpen weights

Tiny Aya

Cohere Labs releases Tiny Aya, a 3.35B multilingual model for 70+ languages

Cohere Labs released Tiny Aya, a 3.35B-parameter multilingual model family supporting 70+ languages that is small enough to run locally on phones. It extends Cohere's Aya line of open multilingual models, bringing broad language coverage to on-device deployments.

Tiny Aya announcement (X) ↗Tiny Aya collection on Hugging Face ↗Tiny Aya Global on Hugging Face ↗
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#open-source#multilingual#on-device

May 2025

Cohere
Papers & Research

The Leaderboard Illusion

Cohere Labs paper accuses Chatbot Arena (LMArena) of structural bias

Cohere Labs published 'The Leaderboard Illusion,' claiming LMArena lets big incumbents privately A/B-test dozens of model variants (Meta ran 27 hidden Llama-4 variants in a month), cherry-pick top scores, and receive far more battle data, inflating Elo ratings. LMArena responded that the leaderboard reflects real human preferences and pre-release testing is open to all providers.

Paper (ArXiv) ↗LMArena reply (X) ↗
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#benchmarks

April 2025

March 2025

Cohere
New ModelsOpen weights

Command A

Cohere Command A: 111B enterprise model with 256K context on just 2 GPUs

Cohere announced Command A, a 111B parameter open-weights model with a 256K context window, presented on the show by Cohere's Sandra Kublik. It runs on only two GPUs where models of this size typically require around 32, and is built for enterprise use: agentic tasks, tool use, multilingual performance, and secure private deployments.

Blog ↗
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#open-source#industry#agents