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      Browse models provided by Cohere (Terms of Service)

      9 models

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      • Cohere: Command A

        Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding 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 and multilingual tasks.

        by cohere256K context$2.50/M input tokens$10/M output tokens
      • Cohere: Command R7B (12-2024)

        Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning and multiple steps. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

        by cohere128K context$0.038/M input tokens$0.15/M output tokens
      • Cohere: Command R (08-2024)

        command-r-08-2024 is an update of the Command R with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and is competitive with the previous version of the larger Command R+ model. Read the launch post here. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

        by cohere128K context$0.15/M input tokens$0.60/M output tokens
      • Cohere: Command R+ (08-2024)

        command-r-plus-08-2024 is an update of the Command R+ with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint the same. Read the launch post here. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

        by cohere128K context$2.50/M input tokens$10/M output tokens
      • Cohere: Command R+

        Command R+ is a new, 104B-parameter LLM from Cohere. It's useful for roleplay, general consumer usecases, and Retrieval Augmented Generation (RAG). It offers multilingual support for ten key languages to facilitate global business operations. See benchmarks and the launch post here. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

        by cohere128K context$3/M input tokens$15/M output tokens
      • Cohere: Command R+ (04-2024)

        Command R+ is a new, 104B-parameter LLM from Cohere. It's useful for roleplay, general consumer usecases, and Retrieval Augmented Generation (RAG). It offers multilingual support for ten key languages to facilitate global business operations. See benchmarks and the launch post here. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

        by cohere128K context$3/M input tokens$15/M output tokens
      • Cohere: Command R

        Command-R is a 35B parameter model that performs conversational language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents. Read the launch post here. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

        by cohere128K context$0.50/M input tokens$1.50/M output tokens
      • Cohere: Command

        Command is an instruction-following conversational model that performs language tasks with high quality, more reliably and with a longer context than our base generative models. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

        by cohere4K context$1/M input tokens$2/M output tokens
      • Cohere: Command R (03-2024)

        Command-R is a 35B parameter model that performs conversational language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents. Read the launch post here. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

        by cohere128K context$0.50/M input tokens$1.50/M output tokens