Cohere rerank pricing. The pricing details for each feature are as follows: Embed.
Cohere rerank pricing $0. May 19, 2025 · Pricing for Cohere rerank models. By pricing the reranking step per search unit rather than per token processed, Cohere offers potentially more predictable costs for this specific component compared to using a general-purpose LLM, which would Cohere brings you cutting-edge multilingual models, advanced retrieval, and an AI workspace tailored for the modern enterprise — all within a single, secure platform Request a demo Trusted by industry leaders and developers worldwide Jul 24, 2024 · Cohere's Rerank 3, a model that improves search results and makes them more relevant, is now available on Microsoft Azure AI. Developers wanting to test different applications or build proofs of concept can use all of Cohere’s models and APIs can do so with a trial key by Apr 17, 2025 · Cohere's distinct pricing model for its Rerank service ($2. 50 per 1 million tokens; Default output: $2. Feb 26, 2025 · Cohere Rerank v3. With respect to pricing, the key thing to understand is that trial API key usage is free, but limited . **Integration**: The Rerank API can be integrated easily into applications, requiring minimal code changes, which can be cost-effective for developers [4]. Cohere adopts a usage-based pricing model, where users are billed according to their specific usage of different features. Usage is free until you go into Here are some additional insights about Cohere's pricing: 1. 5 excels in processing complex queries and large documents, delivering precise and relevant search The easiest way to build and scale generative AI applications with foundation models. Queries, not to be confused with a user's query, is a pricing meter that refers to the cost associated with the tokens used as input for inference of a Cohere Rerank model. 00 per 1,000 searches) further underscores its focus on the RAG pipeline. You are charged based on the sum of tokens processed. 5, and Embed 4—are now available on Azure AI Foundry models via Managed Compute. **Pay-As-You-Go Model**: The Rerank API operates on a pay-as-you-go basis, making it flexible for various usage levels [7]. Rerank. It includes access to all endpoints, ticket support, and help via the Cohere Discord community. Cohere counts a single search unit as a query with up to 100 documents to be ranked. 2. We charge differently for input and output tokens. Cohere Pricing. We are extremely impressed!" — James Kirk, VP of AI, Hunt Club. 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 Usage-based Pricing. You’ll need: An Azure subscription with a valid payment method. 10 per 1 million tokens; Generate. Cohere offers three pricing tiers: Free Tier: Provides rate-limited usage for learning and prototyping. Whether you're using Command for text generation, Embed for embeddings, or Rerank for search optimization, calculate your API costs instantly. Free or trial Azure subscriptions won’t work. Default input: $1. With a context window of 4,096 tokens, Rerank v3. 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. Cohere makes a distinction between “trial” and “production” usage of an API key. Today, we are very excited to announce the addition of two new models from Cohere: Cohere Rerank 3 – English ; Cohere Rerank 3 – Multilingual; Cohere Rerank 3 is considered a leading AI model for semantic reranking in search systems. See the FAQ for pricing details for previous versions of Command R 03-2024 and Command R+ 04-2024. 5 is the latest iteration in Cohere's series of reranking models, designed to reorder search results based on a deep semantic understanding of user queries and document content. Cohere's Embed 4 enables us to search these profiles more precisely, showing a +47% relative improvement over the already-strong performance of Embed 3. 5; Cohere Rerank V3 (English) Cohere Rerank V3 (multilingual) Prerequisites. Whether you’re a start-up or a Fortune 500 company, Cohere has a deployment solution for you. The pricing details for each feature are as follows: Embed. Apr 11, 2024 · < Back to blog Introducing Rerank 3: A New Foundation Model for Efficient Enterprise Search & Retrieval Sylvie Shi, Nils Reimers. Apr 11, 2024 Apr 17, 2025 · Cohere's distinct pricing model for its Rerank service ($2. Evaluate how Rerank can improve accuracy and efficiency across your existing retrieval stack; Explore how Rerank, Embed, and Command can work together in RAG and agentic pipelines; Determine the best deployment model for your infrastructure and privacy requirements; Get help adding Rerank to your stack — no major setup or system changes needed Our comprehensive Cohere API calculator helps you estimate costs for all Cohere models. Whether you’re using Command or Embed, the initial set up is the same. By pricing the reranking step per search unit rather than per token processed, Cohere offers potentially more predictable costs for this specific component compared to using a general-purpose LLM, which would 3 days ago · We’re excited to announce that Cohere's latest models—Command A, Rerank 3. Oct 17, 2022 · Cohere announces a new platform pricing structure designed to provide more flexibility, control and value to every developer and business. If you don’t have an Azure subscription, create a paid Azure Our solutions provide industry-leading data privacy and security and are designed to meet the diverse needs of organizations seeking to harness the power of generative AI. 0, with the same variants as above. 3. 00 per 1 million tokens; Classify Jun 4, 2024 · Cohere also offers its previous embedding model, Rerank v2. A powerful Cohere Rerank V3. Jul 25, 2024 · At Microsoft Build, we announced the availability of Command R models on Azure AI. fhnuudgpjdlfjtphjetbjtfumcguhzszyxoouqdgmloff