Cohere.

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 .

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: PYTHON 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 PYTHON 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 )

We’re excited to announce the release of Command A Translate , Cohere’s first machine translation model. It achieves state-of-the-art performance at producing accurate, fluent translations across 23 languages. Key Features 23 supported languages : English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Chinese, Arabic, Russian, Polish, Turkish, Vietnamese, Dutch, Czech, Indonesian, Ukrainian, Romanian, Greek, Hindi, Hebrew, and Persian 111 billion parameters for superior translation quality 16K token context length (8K input + 8K output) for handling longer texts Optimized for deployment on 1-2 GPUs (A100s/H100s) Secure deployment options for sensitive data translation Getting Started The model is available immediately through Cohere’s Chat API endpoint. You can start translating text with simple prompts or integrate it programmatically into your applications. from cohere import ClientV2 co = ClientV2 ( api_key = " " ) response = co . chat ( model = " command-a-translate-08-2025 " , messages = [ { " role " : " user " , " content " : " Translate this text to Spanish: Hello, how are you? " , } ], ) Availability Command A Translate ( command-a-translate-08-2025 ) 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 Translate, including technical specifications and implementation examples, visit our model documentation .

We’re excited to announce the release of Command A Reasoning , a hybrid reasoning model designed to excel at complex agentic tasks, in English and 22 other languages. With 111 billion parameters and a 256K context length, this model brings advanced reasoning capabilities to your applications through the familiar Command API interface. Key Features Tool Use : Provides the strongest tool use performance out of the Command family of models. Agentic Applications : Demonstrates proactive problem-solving, autonomously using tools and resources to complete highly complex tasks. Multilingual : With 23 languages supported, the model solves reasoning and agentic problems in the language your business operates in. Technical Specifications Model Name : command-a-reasoning-08-2025 Context Length : 256K tokens Maximum Output : 32K tokens API Endpoint : Chat API Getting Started Integrating Command A Reasoning is straightforward using the Chat API. Here’s a non-streaming example: PYTHON PYTHON (Streaming) 1 from cohere import ClientV2 2 3 co = ClientV2 ( " " ) 4 5 prompt = """ 6 Alice has 3 brothers and she also has 2 sisters. How many sisters does Alice's brother have? 7 """ 8 9 response = co . chat ( 10 model = " command-a-reasoning-08-2025 " , 11 messages = [ 12 { 13 " role " : " user " , 14 " content " : prompt , 15 } 16 ], 17 ) 18 19 for content in response . message . content : 20 if content . type == " thinking " : 21 print ( " Thinking: " , content . thinking ) 22 23 if content . type == " text " : 24 print ( " Response: " , content . text ) Customization Options You can enable and disable thinking capabilities using the thinking parameter, and steer the model’s output with a flexible user-controlled thinking budget; for more details on token budgets, advanced configurations, and best practices, refer to our dedicated Reasoning documentation .

We’re excited to announce the release of Command A Vision , Cohere’s first commercial model capable of understanding and interpreting visual data alongside text. This addition to our Command family brings enterprise-grade vision capabilities to your applications with the same familiar Command API interface. Key Features Multimodal Capabilities Text + Image Processing : Combine text prompts with image inputs Enterprise-Focused Use Cases : Optimized for business applications like document analysis, chart interpretation, and OCR Multiple Languages : Officially supports English, Portuguese, Italian, French, German, and Spanish Technical Specifications Model Name : command-a-vision-07-2025 Context Length : 128K tokens Maximum Output : 8K tokens Image Support : Up to 20 images per request (or 20MB total) API Endpoint : Chat API What You Can Do Command A Vision excels in enterprise use cases including: 📊 Chart & Graph Analysis : Extract insights from complex visualizations 📋 Table Understanding : Parse and interpret data tables within images 📄 Document OCR : Optical character recognition with natural language processing 🌐 Image Processing for Multiple Languages : Handle text in images across multiple languages 🔍 Scene Analysis : Identify and describe objects within images 💻 Getting Started The API structure is identical to our existing Command models, making integration straightforward: 1 import cohere 2 3 co = cohere . Client ( " your-api-key " ) 4 5 response = co . chat ( 6 model = " command-a-vision-07-2025 " , 7 messages = [ 8 { 9 " role " : " user " , 10 " content " : [ 11 { 12 " type " : " text " , 13 " text " : " Analyze this chart and extract the key data points " , 14 }, 15 { 16 " type " : " image_url " , 17 " image_url " : { " url " : " your-image-url " }, 18 }, 19 ], 20 } 21 ], 22 ) There’s much more to be said about working with images, various limitations, and best practices, which you can find in our dedicated Command A Vision and Image Inputs documents.