Embedding and retrieval APIs
Find embedding models for semantic search, retrieval-augmented generation, recommendations, clustering, and document processing through a consistent API.
Current catalog
1
embedding models with verified catalog metadata
Pricing content refreshed July 25, 2026
Comparable models are ordered by their current normalized price.
1 models
sarvam
An advanced Mixture-of-Experts (MoE) model with 2.4B non-embedding active parameters, designed for practical deployment. It combines strong reasoning, reliable coding ability, and best-in-class conversational quality across 22 Indian languages, and supports tool calling in multilingual voice call scenarios.
Price
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Context
64K
OneInfer compares only positive prices with the same billing unit. Per-minute, per-character, per-token, per-image, per-video, and per-second rates remain separate. Prices can change, so the current model page and console remain the source of truth.
Embedding models are compared using their positive input-token price per one million tokens when that pricing is available.
Yes. Store the returned vectors in your preferred vector database and use them for retrieval or similarity search.