Release Notes

We’re pleased to announce the release of Embed 5, Cohere’s most powerful embeddings family yet.

Embed 5 delivers frontier retrieval quality on complex enterprise data, with major gains over Embed 4 on visually rich documents, financial filings, parsed PDFs, code, and multilingual retrieval.

Key features

• Two model variants available:
  • embed-v5.0-pro: Optimized for the highest retrieval quality, particularly for offline indexing and quality-critical retrieval
  • embed-v5.0-fast: Optimized for low latency and high throughput, particularly for interactive search, agent loops, and high-volume query traffic
• Shared embedding space: Pro and Fast share an embedding space, so a corpus indexed with one model can be queried with the other. We recommend indexing with Pro and querying with Fast.
• Multimodal inputs: Embed text, images, and mixed text-and-image inputs (e.g. PDF pages) in a single vector
• Multilingual support: Supports over 100 languages
• Extended context length: 128k token context window
• Flexible storage: Matryoshka embeddings in the following dimensions: [256, 512, 768, 1024, 1536, 2048], with float, int8, and binary output types

Availability

Embed 5 is available through the Embed API, as well as Microsoft Foundry (Pro, Fast) and Amazon SageMaker (Pro, Fast). For single-tenant deployment, Embed 5 is also available in Cohere’s Model Vault.

For more details, see the model documentation.

We’re pleased to announce the release of North Small Translate, an open-weights mixture-of-experts model purpose-built for machine translation across more than 50 languages.

North Small Translate is designed to give researchers, developers, and enterprises flexible ways to evaluate and deploy machine translation while retaining control over their data and infrastructure.

Key features

• Purpose-built translation: Optimized for machine translation across more than 50 languages and locale variants.
• Efficient MoE architecture: 218 billion total parameters with 25 billion active parameters.
• Flexible deployment: Available through the free-tier Chat V2 API and as open weights in W4A16, FP8, and BF16 for non-commercial use.
• Private deployment: Suggested deployment hardware by quantization format:
  • W4A16: Two H100s or one B200
  • FP8: Four H100s or two B200s
  • BF16: Eight H100s or four B200s

Technical details

• Model name: north-small-translate-1-0
• Context length: 16K
• License: Creative Commons Attribution-NonCommercial 4.0
• Open-weights formats: W4A16, FP8, and BF16

Availability

North Small Translate is available on the free tier through the Chat V2 API. Open weights are available in W4A16, FP8, and BF16 on Hugging Face for non-commercial use under the CC BY-NC 4.0 license.

For supported languages, use cases, and an API example, see the model documentation.

Today we are releasing Cohere Parse.

Parse (model ID: parse-v5.0) turns complex documents into clean, structured Markdown ready for downstream AI workflows. The 2.3B-parameter multimodal model extracts text in reading order, tables, lists, forms, images and captions, page boundaries, and visual element locations.

Outputs include Markdown/HTML content, HTML-formatted tables, bounding boxes, and image descriptions — preserving both document structure and layout for easier rendering and processing.

Key specs: 8K context window · ~4.6GB model size · Markdown output

Availability

Cohere Parse is available through the Parse API, as well as Microsoft Foundry and AWS SageMaker. For single-tenant deployment, Parse is also available in Model Vault.

For more details, see the model documentation.

Today we are releasing Cohere Transcribe Arabic.

This open-source speech-to-text model is a fine-tune of Cohere Transcribe using Arabic speech data. It lets Arabic speakers transcribe their voice with unmatched accuracy and support for regional dialects or speech patterns.

It is currently the most accurate open-source Arabic ASR model available today and is optimized for production inference and throughput.

Technical Details

• Model Name: cohere-transcribe-arabic-07-2026
• Size: 2B
• Architecture: conformer-based encoder-decoder
• Languages supported: Arabic (all major dialects), English (including English spoken with an Arabic accent)
• License: Apache 2.0

Availability

Cohere Transcribe Arabic is available through the V2 Audio Transcriptions API and as open weights on Hugging Face. For production use, Model Vault deployment is also supported.

For more details, see the model documentation.

We’re pleased to announce the release of North Mini Code, Cohere’s first agentic coding model. It is a 30 billion total / 3 billion active parameter Mixture of Experts model trained specifically for agentic coding, with a small enough active footprint to run on local hardware.

Technical Details

• Model Name: north-mini-code-1-0
• Context Length: 256K input, 64K output
• License: Apache 2.0

Availability

North Mini Code is available through the Chat V2 API and as open weights on Hugging Face. For production use, Model Vault deployment is also supported.

For more details, see the model documentation.

We’re pleased to announce the release of Command A+, the last model in the Command A family of models, combining support for vision inputs, reasoning capabilities, translation capabilities, and agentic tasks all within the same model. It is also notably our first Mixture of Experts (MoE) model with 25 billion active parameters ands 218 billion total parameters.

Key Features

• Agentic Applications: With notable performance increases in tool use and agentic tasks, Command A+ is the strongest agentic model in the Command family.
• Expanded Multilingual Support: With 48 languages supported, including all official EU languages, this more than doubles the support of languages from our prior models.
• Efficient & Fast: With as few as 1 x B200 or 2 x H100s required to deploy the model, and up to 110% throughput increase and 30% decrease in latency over Command A Reasoning, the model is designed for production-grade deployments.

Technical Details

• Model Name: command-a-plus-05-2026
• Context Length: 128K input, 64K output
• Languages covered: English, Arabic, Bulgarian, Bengali, Catalan, Czech, Danish, German, Greek, Spanish, Estonian, Persian, Finnish, Filipino, French, Irish, Hebrew, Hindi, Croatian, Hungarian, Indonesian, Icelandic, Italian, Japanese, Korean, Lithuanian, Latvian, Malay, Maltese, Dutch, Norwegian, Punjabi, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Serbian, Swedish, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Chinese.
• License: Apache 2.0

Availability

Command A+ (command-a-plus-05-2026) is now available for all Cohere users through our standard API endpoints. For enterprise customers, private deployment options are available to ensure maximum security and control over your translation workflows.

For more detailed information about Command A+, including technical specifications and implementation examples, visit our model documentation.

Retirement notice

Effective April 4, 2026, the following models are no longer available. Requests using these model IDs will fail.

Retired models:

• embed-english-v2.0
• embed-english-light-v2.0
• embed-multilingual-v2.0
• c4ai-aya-expanse-8b
• c4ai-aya-vision-8b

We recommend these replacements:

Embedding tasks

• embed-english-v3.0
• embed-multilingual-v3.0
• embed-v4.0

Chat tasks

• command-r7b-12-2024
• command-a-03-2025
• command-a-reasoning-08-2025

For the full announcement and lifecycle context, see the Deprecations page. For questions or assistance, contact support@cohere.com.

We’re pleased to announce the release of Cohere Transcribe, our first transcription model. Cohere Transcribe specializes in audio-in, text-out, automatic speech recognition (ASR).

Technical details

• Model name: cohere-transcribe-03-2026
• Input: Audio waveform
• Output: Text
• Languages covered: English, German, French, Italian, Spanish, Portuguese, Greek, Dutch, Polish, Vietnamese, Chinese, Arabic, Japanese, Korean.
• License: Apache 2.0
• API endpoint: Audio Transcriptions API

Getting started

The model is available immediately through Cohere’s Audio Transcriptions API endpoint. You can start transcribing audio using the following example query:

import cohere
co = cohere.ClientV2()
response = co.audio.transcriptions.create(
    model="cohere-transcribe-03-2026",
    language="en",
    file=open("./sample.wav", "rb"),
)
print(response)

Availability

You can access Cohere Transcribe via our API for free, low-setup experimentation subject to rate limits. See the Different Types of API Keys and Rate Limits page for usage details and integration guidance.

For production deployment without rate limits, provision a dedicated Model Vault. This enables low-latency, private cloud inference without having to manage infrastructure. Pricing is calculated per hour-instance, with discounted plans for longer-term commitments. Contact our team to discuss your requirements.

We’re pleased to announce the release of Rerank 4.0 our newest and most performant foundational model for ranking.

Technical Details

• Two model variants available:
  • rerank-v4.0-pro: Optimized for state-of-the-art quality and complex use-cases
  • rerank-v4.0-fast: Optimized for low latency and high throughput use-cases
• Multilingual support: Re-rank both English and non-English documents
• Semi-structured data support: Re-rank JSON documents
• Extended context length: 32k token context window

Example Query

import cohere
co = cohere.ClientV2()
query = "What is the capital of the United States?"
docs = [
    "Carson City is the capital city of the American state of Nevada. At the 2010 United States Census, Carson City had a population of 55,274.",
    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that are a political division controlled by the United States. Its capital is Saipan.",
    "Charlotte Amalie is the capital and largest city of the United States Virgin Islands. It has about 20,000 people. The city is on the island of Saint Thomas.",
    "Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) is the capital of the United States. It is a federal district. The President of the USA and many major national government offices are in the territory. This makes it the political center of the United States of America.",
    "Capital punishment has existed in the United States since before the United States was a country. As of 2017, capital punishment is legal in 30 of the 50 states. The federal government (including the United States military) also uses capital punishment.",
]
results = co.rerank(
    model="rerank-v4.0-pro", query=query, documents=docs, top_n=5
)

As part of our ongoing commitment to delivering advanced AI solutions, we are deprecating the following models, features, and API endpoints:

Deprecated Models:

• command-r-03-2024 (and the alias command-r)
• command-r-plus-04-2024 (and the alias command-r-plus)
• command-light
• command
• summarize (Refer to the migration guide for alternatives).

For command model replacements, we recommend you use command-r-08-2024, command-r-plus-08-2024, or command-a-03-2025 (which is the strongest-performing model across domains) instead.

Retired Fine-Tuning Capabilities: All fine-tuning options via dashboard and API for models including command-light, command, command-r, classify, and rerank are being retired. Previously fine-tuned models will no longer be accessible.

Deprecated Features and API Endpoints:

• /v1/connectors (Managed connectors for RAG)
• /v1/chat parameters: connectors, search_queries_only
• /v1/generate (Legacy generative endpoint)
• /v1/summarize (Legacy summarization endpoint)
• /v1/classify
• Slack App integration
• Coral Web UI (chat.cohere.com and coral.cohere.com)

For questions, reach out to support@cohere.com