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Head to head · 2026

Cohere vs Qdrant

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Cohere

Enterprise LLM platform delivering retrieval-augmented chat, embedding, and reranking models via API

4.4Not listed

Visit Cohere (opens Cohere in a new tab)

Qdrant

Open-source vector database that raised a $50M Series B to power retrieval for AI agents

4.3Free

Visit Qdrant (opens Qdrant in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: Cohere does not list a price

  • Free plan

    Qdrant

    Only Qdrant has one

  • Higher rating

    Cohere

    4.4 against 4.3

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onCohereQdrant
Our rating4.4Better4.3
Starts atNot listedFree
Free planNoYesBetter
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansSee pricingFree
Key features
  • Command R+, Command R, and Command R7B chat models at different price and performance tiers
  • Built-in Retrieval-Augmented Generation with source citations
  • Embed v3 models for multilingual semantic search
  • Rerank v3 for improving search and retrieval result ordering
  • Deployment options including private, on-premises enterprise infrastructure
  • Open-source vector database, free to self-host with full source access
  • Qdrant Cloud managed service with a free tier and usage-based paid plans
  • Purpose-built for semantic search, recommendations, and RAG pipelines
  • $50M Series B raised March 2026 to expand agent-retrieval infrastructure
  • Filterable vector search with payload metadata alongside embeddings
Pros
  • RAG citations back to source documents reduce hallucination risk for enterprise use
  • Private and on-premises deployment options for regulated industries
  • Tiered model family lets teams trade cost against capability per task
  • Open-source option gives full control and zero licensing cost for self-hosted deployments
  • Managed cloud tier removes the operational overhead of running vector search infrastructure
  • Free tier on Qdrant Cloud is generous enough for real prototyping, not just a demo
Cons
  • No consumer-facing chat product for casual, non-technical users
  • Usage-based pricing requires ongoing cost monitoring rather than a flat fee
  • Free trial keys cannot be used for production workloads
  • Self-hosting still requires infrastructure expertise the managed tier is meant to remove
  • Competes in a crowded vector-database field against Pinecone and several open-source alternatives
  • Newer funding means less operating history than some competing vector databases
CompanyCohere, founded 2019Qdrant, founded 2021

Prices come from each vendor's pricing page, last checked 20260718. Check the vendor before you buy.

FAQ

Questions people ask

Is Cohere better than Qdrant?

In our reviews Cohere scores 4.4 and Qdrant scores 4.3. The better pick depends on the job. Cohere: Enterprise LLM platform delivering retrieval-augmented chat, embedding, and reranking models via API. Qdrant: Open-source vector database that raised a $50M Series B to power retrieval for AI agents.

Which is cheaper, Cohere or Qdrant?

Cohere: see pricing. Qdrant: free.

Do Cohere and Qdrant have free plans?

Only Qdrant has a free plan.

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