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Mixedbread Embed vs Qdrant

Mixedbread Embed or Qdrant? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In short

  • Both: Command line, Self-hosted, API, Runs models for you, Search over your data
  • Only Mixedbread Embed states: Knows the whole codebase, No code retained
  • Only Qdrant states: Official SDKs

Mixedbread Embed

Legacy direct embedding APIs and models from Mixedbread; new integrations are directed to Mixedbread Search Stores.

Plans

Starter

Free

  • $5 in one-time credits
  • 3 workspace users
  • 10 stores
  • 100 requests / minute
  • Community Slack support

Scale

  • $20 / month
  • $20 of credits included every month
  • Unlimited workspace users
  • 10,000 stores
  • 1,200 queries/min, 360 ingestion/min
  • Automatic backups
  • Priority Slack support (same-day SLA)

Enterprise

Price on request

  • Volume-based discounts
  • Unlimited workspace users
  • Unlimited stores
  • Custom rate limits & SLA
  • Automatic backups, point-in-time recovery
  • Dedicated support team

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Knows the whole codebase — “Upload PDFs, images, documents, code, or video in any format and instantly make it searchable with natural language queries.” source
  • Command line — “We built our CLI to streamline Store operations for developers.” source
  • Self-hosted — “Bring Your Own Cloud runs Mixedbread inside your own cloud account, keeping data and compute there.” source
  • No code retained — “Bring Your Own Bucket keeps your content in object storage you control, such as S3, while Mixedbread indexes and searches it without retaining it.” source
  • API — “Mixedbread is an API for integrating fast, multimodal search into your applications, agents, and AI systems.” source
  • Runs models for you — “They are separate from the LLM tokens Toast 1 uses for inference.” source
  • Search over your data — “Create a store (your search index) and upload any file format — PDFs, images, documents, code, videos.” source

Latest updates

About Mixedbread Embed

Qdrant

Qdrant is an open-source vector search engine and managed cloud service for semantic search, RAG, recommendations, and AI agents.

Plans

Free Tier

Free

  • Free forever
  • Single Node Cluster
  • 0.5 vCPU / 1GB RAM / 4 GB Disk
  • Free Cloud Inference With Selected Models

Standard Tier

  • from 25$
  • Usage-based pricing
  • Dedicated Resources
  • Flexible Vertical and Horizontal Scaling
  • Highly Available Setups
  • Backup & Disaster Recovery
  • 99.5% Uptime SLA

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Command line — “API, Terraform, Pulumi, CLI” source
  • Self-hosted — “Open-source DNA with enterprise-grade security and flexibility — run on-prem, hybrid, edge, or move seamlessly to Qdrant Cloud.” source
  • API — “Start with a single API call — scale to advanced control over HNSW, hybrid fusion, reranking, and multi-vector retrieval, all via REST, gRPC, or official clients (Python, JavaScript, etc.).” source
  • Official SDKs — “official clients (Python, JavaScript, etc.).” source
  • Runs models for you — “Generate text and image embeddings and run vector search in Qdrant Cloud — no separate pipeline or infrastructure needed.” source
  • Search over your data — “Deliver context-rich answers with hybrid dense – sparse retrieval, metadata filters, and fresh updates.” source

Security

  • SOC 2 Type II — “Qdrant holds SOC 2 Type 2 and HIPAA certifications.” source
  • SOC 2 — “Qdrant holds SOC 2 Type 2 and HIPAA certifications.” source
  • GDPR — “For deployments subject to GDPR, Qdrant provides a Data Processing Agreement covering data protection and privacy commitments.” source
  • HIPAA — “Qdrant is HIPAA certified and Business Associate Agreement is available for Qdrant Managed Cloud.” source
  • Data kept in the EU — “Data in Qdrant clusters stored only in the cluster's deployment region.” source

Latest updates

  • v1.19.0 (v1.19.0)

    Added 4-bit TurboQuant storage, per-component memory controls, keyword prefix filters, and per-query IDF for sparse search.

  • v1.18.0 (v1.18.0)
  • v1.17.0 (v1.17.0)

    Added relevance feedback, optimization and telemetry APIs, update queue and controls, audit logging, weighted RRF, and upsert modes.

About Qdrant