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Qdrant

Vector searchREST · qdrant-cloud-rest

Open-source vector search engine, managed in Qdrant Cloud.

Overall score

69.5/100

qdrant-cloud-rest

Measured Oct 5, 2026

Status

Ranked

Complete benchmark. `overall` is a weighted average of the applicable criteria, comparable to other surfaces in the same category and the same rubric version.

Coverage

88% of the rubric

Surfaces
evaluated.

We score a surface, not a product. One product often exposes several, and they are not worth the same.

qdrant-cloud-restrestprimary

88% coverage

69.5/100

Criterion
by criterion.

Measured on qdrant-cloud-rest, rubric v0.2.0. A criterion with no score is not counted as zero: it is excluded and the weights are renormalised.

Offload Valuejudged · weight 15 · Oct 5, 2026

84/100

Qdrant performs approximate nearest-neighbor vector search, filtering, faceting and distance-matrix computation over potentially millions of stored vectors inference cannot replicate scanning a corpus in-context. This is genuine heavy computation and proprietary-data retrieval offload, plus indexing and clustering operations. It falls short of 90+ because it has no real-world side effect (no funds, signing, compliance) and the core value is retrieval over data the user supplied; much of the documented API surface (collections, upsert, payload set/delete, snapshots) is storage CRUD, and embeddings must be produced elsewhere.

  • https://api.qdrant.tech/api-reference
    Qdrant is a vector database and a semantic search engine. You can use its REST API to develop a production-ready service to store, search, and manage vectors with an additional payload.
  • https://api.qdrant.tech/api-reference
    Qdrant is a vector database and a semantic search engine. You can use its REST API to develop a production-ready service to store, search, and manage vectors with an additional payload.
  • https://api.qdrant.tech/api-reference
    Qdrant is a vector database and a semantic search engine. You can use its REST API to develop a production-ready service to store, search, and manage vectors with an additional payload.

Interaction Costmeasured · weight 15 · Oct 5, 2026

100/100

Median over 2 successful run(s): 8648 tokens, 3 calls. Ratio to the best in "vector-database" (3 surfaces measured, v0.2 scale). Cold, without documentation: 1/1 succeeded.

Error Recoverabilityprobed · weight 15 · Oct 5, 2026

36/100

unknown_endpoint → HTTP 404, clarity 55/100 (field named: yes, allowed values: no, RFC 9457: no) · wrong_type → HTTP 400, clarity 30/100 (field named: no, allowed values: no, RFC 9457: no) · hallucinated_enum → HTTP 400, clarity 30/100 (field named: no, allowed values: no, RFC 9457: no) · unknown_field → HTTP 409, clarity 30/100 (field named: no, allowed values: no, RFC 9457: no)

Doc Legibilitymeasured · weight 12 · Oct 5, 2026

17/100

text/markup ratio 2.8% (weight 30) · rendering without JavaScript undetermined (excluded from the calculation) (weight 25) · machine-readable spec: none found (weight 25) · llms.txt: https://api.qdrant.tech/llms.txt (weight 10) · 0 runnable example(s) (weight 10). Weighted average over 75 points of available sub-criteria.

Auth Frictionmeasured · weight 10 · Oct 5, 2026

90/100

Dedicated api-key header, verified by a successful call. Slightly below Bearer: the header name has to be read in the documentation.

Safety & Reversibilityprobed · weight 10

—/100

If I retry after a timeout, do I charge the customer twice?

Payload Efficiencyprobed · weight 8 · Oct 5, 2026

52/100

Field selection via ?fields=: 85 → 59 bytes. (weight 35) · No cursor pagination marker in the response. (weight 20) · Nested envelope or non-list shape. (weight 10) · No ETag. (Compression is not measurable: the runtime decompresses it and strips the header.) (weight 10). Weighted average over 75 points of measured sub-criteria.

Task Atomicitymeasured · weight 6 · Oct 5, 2026

100/100

Median over 2 successful run(s): 8648 tokens, 3 calls. Ratio to the best in "vector-database" (3 surfaces measured, v0.2 scale). Cold, without documentation: 1/1 succeeded.

Prior Knowledge Coveragemeasured · weight 5 · Oct 5, 2026

100/100

Median over 2 successful run(s): 8648 tokens, 3 calls. Ratio to the best in "vector-database" (3 surfaces measured, v0.2 scale). Cold, without documentation: 1/1 succeeded.

Async Compatibilityprobed · weight 2

—/100

If the operation is asynchronous, can I get the result without hosting a web server?

Tool-Native (MCP)binary · weight 2 · Oct 5, 2026

100/100

MCP server reachable at https://api.qdrant.tech/mcp ("fern-docs-mcp-server"), answering a JSON-RPC handshake. To be confirmed manually as the official server before final publication.

Runs, verified
never on the agent’s word.

Every row is a real attempt at the category’s canonical task. Success is verified by reading the created resource back.

TaskTokensCallsErrorsDocsResult
index-and-query-vectors8,17830withoutverified
index-and-query-vectors8,65930withverified
index-and-query-vectors8,63730withverified