Cohere Embed 4 is a verified AI model profile covering official specifications, pricing or access, capabilities, practical use cases, strengths and limitations.
Cohere Embed 4 is Cohere's multimodal embedding model for text, images and mixed PDF-style content, with a 128K context window and flexible embedding dimensions.
Cohere Embed 4 is an AI model verified from first-party Cohere sources.
Cohere Embed 4 is Cohere’s multimodal embedding model for text, images and mixed PDF-style content, with a 128K context window and flexible embedding dimensions. Its verified context or usage limit is 128000 tokens, with 256|512|1024|1536 embedding dimensions maximum output.
Trial API keys are free but rate-limited. Cohere Model Vault lists Embed 4 at $4/hour for Small or $5/hour for Medium performance tiers, with monthly commitment options.
RAG, Semantic search, Multimodal retrieval, Recommendations, Classification.
Does not generate answers, Retrieval quality needs evaluation, Large media corpora can create storage and indexing cost.
In addition, its main capabilities include 128K context, Text and image embeddings, Mixed-modality vectors, 256-1536 dimensions and Multilingual retrieval. For example, common use cases include RAG, Vector search, Recommendations, Image-text retrieval and Classification.
In practice, this model may suit RAG, Semantic search, Multimodal retrieval, Recommendations and Classification. Also, notable strengths include Multimodal, Large embedding context, Flexible dimensions and Enterprise deployment options. However, review trade-offs such as Does not generate answers, Retrieval quality needs evaluation and Large media corpora can create storage and indexing cost before adopting it.
Meanwhile, Trial API keys are free but rate-limited. Cohere Model Vault lists Embed 4 at $4/hour for Small or $5/hour for Medium performance tiers, with monthly commitment options. Free trial access is rate-limited; production cost depends on pay-as-you-go platform billing or dedicated Model Vault capacity.
Use the official model website, official documentation, pricing or release source and additional primary source to confirm current availability, limits and pricing. Product details can change after publication, so rely on primary documentation for final decisions.
Next, continue your research in the AI models directory, Cohere models and Embedding Model models. Compare providers, pricing, modalities and practical limitations side by side to choose the right model for your workflow.
Embed these documents for semantic search.Create vectors for these product images and descriptions.Build a multimodal RAG index from these PDFs.Trial API keys are free but rate-limited. Cohere Model Vault lists Embed 4 at $4/hour for Small or $5/hour for Medium performance tiers, with monthly commitment options.
A strong developer-focused model page for modern multimodal RAG and semantic search workflows.
