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Cohere

Enterprise retrieval and language stack

Models

3

Founded

2019

Country

Canada

Toronto

Cohere has been building models out of Toronto, Canada, since 2019. Webparam tracks three of its models, spanning language, embeddings and search: free to call and reaching 256K.

Models

The Cohere catalogue

Ordered by weekly usage on Webparam.

  • Command A by Cohere
    CohereOn request

    Command A

    cohere/command-a

    The enterprise generation model, built for RAG, citations and private deployment.

    LanguageTool callingJSON modeStreaming

    256K ctx · Price on request

  • Embed v4 by Cohere
    CohereOn request

    Embed v4

    cohere/embed-v4

    Multimodal enterprise embeddings: text and images in one vector space, 128K inputs.

    EmbeddingsBatchVision input

    128K ctx · Price on request

  • Rerank 3.5 by Cohere
    CohereOn request

    Rerank 3.5

    cohere/rerank-3.5

    The retrieval quality multiplier, reorders candidate documents by true relevance, per query.

    SearchBatch

    4K ctx · Price on request

Recent releases

What shipped lately

    Cohere never chased consumer chat. It built the enterprise retrieval stack instead. Command handles generation, Embed and Rerank power search pipelines, and private-deployment options made it a fixture in regulated industries where data cannot leave the building.

    Strengths

    • Complete RAG stack: generate, embed, rerank
    • Private and on-prem deployment options
    • Enterprise-grade multilingual support

    Use Cohere models through Webparam

    Every model above is callable through one OpenAI-compatible convention: change the model ID, keep the request.

    Chat completions reference →Command A model details →

    Related providers

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