Cohere command a model. An Enterprise-Ready Large Language Model Cohere1 .

Cohere command a model See the FAQ for pricing details for previous versions of Command R 03-2024 and Command R+ 04-2024. Text: 128k: 4k: Chat: command-r-08-2024: command-r-08-2024 is an update of the Command R model, delivered in August 2024. . Find more information here: Text: 128k: 4k: Chat Command A is our most efficient and performant model to date, specializing in agentic AI, multilingual, and human evaluations for real-life use cases. It offers best-in-class Retrieval Augmented Mar 18, 2024 · < Back to blog Cohere’s Command R Enterprise Model Coming to ai. This launch allows enterprises and developers to now deploy Cohere models instantly with their own Azure quota , with per-hour GPU pricing that compensates the model provider Mar 13, 2025 · < Back to blog Introducing Command A: Max performance, minimal compute Cohere Team. command-r-08-2024. Command-R has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. We’re proud to announce Cohere’s newly-launched RAG-optimized Command R model, designed for businesses to get into large-scale production, is coming to the recently launched NVIDIA API catalog. More. 5, and Embed 4—are now available on Azure AI Foundry models via Managed Compute. command-r-plus is an alias for command-r-plus-04-2024, so if you use command-r-plus in the API, that’s the model you’re pointing to. May 14, 2025 · The cohere. Model Providers. Mar 18, 2024. Generative AI › Amazon Bedrock › Cohere; Cohere in Amazon Bedrock . Developed by: Cohere and Cohere Labs. It delivers maximum performance with minimal hardware costs compared to leading models like GPT-4o and DeepSeek-V3. It supports a context length of 128K tokens. Mar 13, 2025. Command A is Cohere's state-of-the-art generative model optimized for demanding enterprises requiring fast, secure, and high-quality AI. Point of Contact: Cohere Labs Model Card for Cohere Labs Command-R . Feb 27, 2025 · < Back to blog Introducing Command R7B Arabic Cohere Team. This model performs great for agentic enterprise tasks, and has significantly improved compute efficiency and has a 256,000 token context length. FAQs. To get the model ID, see Supported foundation models in Amazon Bedrock. Cohere's research lab that seeks to solve Cohere. You can find the quantized version of Cohere Labs Command-R Mar 11, 2024 · Command R is a scalable generative model targeting RAG and Tool Use to enable production-scale AI for enterprise. Feb 27, 2025. The pricing above is applicable to the most recent versions of the Command R series of models, Command R7B, Command R 08-2024, Command R+ 08-2024. nvidia. 🚨 This model is non-quantized version of Cohere Labs Command-R. With a 256K context window (2x most leading models), it excels at business-critical agentic and multilingual tasks while being deployable on 3 days ago · We’re excited to announce that Cohere's latest models—Command A, Rerank 3. This model has a 256,000 token context length. The Command family of models responds well with instruction-like prompts, and are available in two variants: command-light and command. We charge differently for input and output tokens. You make inference requests to an Cohere Command model with InvokeModel or InvokeModelWithResponseStream (streaming). Command A is an agent-optimised and multilingual-capable model, with support for 23 languages of global business, and a novel hybrid architecture balancing efficiency with top of the range performance. Learn more Why enterprises and innovators choose Cohere Jun 5, 2025 · The cohere. You are charged based on the sum of tokens processed. Command-R is a large language model with open weights optimized for a variety of use cases including reasoning, summarization, and question answering. Cohere Command-R is a 35B parameter multilingual large language model designed for long context tasks like retrieval-augmented generation (RAG) and calling external APIs and tools. According to Cohere, its performance matches or exceeds OpenAI 4o and DeepSeekv3 in agentic enterprise tasks, with significantly improved compute efficiency. An Enterprise-Ready Large Language Model Cohere1 (RL Soup Model) Figure 3: Command A goes through multiple post-training phases including two weighted model merging Apr 1, 2025 · In this report we describe the development of Command A, a powerful large language model purpose-built to excel at real-world enterprise use cases. Compared to other leading proprietary and open-weights models Command A delivers maximum performance with minimum hardware costs, excelling on business-critical agentic May 14, 2025 · Cohere's Command A 03-2025 is the most performant Command model to date, delivering 150% of the throughput of its predecessor (Command R+08-2024) while requiring only two GPUs. Command A is on par or better than GPT-4o and DeepSeek-V3 across agentic enterprise tasks, with significantly greater efficiency. The command model demonstrates better performance, while command-light is a great option for applications that require fast responses. command-a-03-2025 model is the most performant Cohere chat model to date with better throughput than cohere. Cohere Labs Command A is an open weights research release of a 111 billion parameter model optimized for demanding enterprises that require fast, secure, and high-quality AI. Build enterprise AI applications that understand your business . The model is specifically trained for grounded generation and supports both single-step and multi-step tool use. com Cohere Team. Our state-of-the-art lightweight multilingual AI model has been optimized for advanced Arabic language capabilities to support enterprises in the MENA region. You need the model ID for the model that you want to use. bjxqzy igplvx fzyl wuvsb umugo eslc imzeyx pinjm mzrm fpdxmn