# Qdrant: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 73 judge labels across 1 category by 14 of 14 models. Page: https://www.gane.ai/index/it/vendors/qdrant

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Vector databases](https://www.gane.ai/index/it/it-data/vector-databases/index.md) | 34% | 1 | 1% | 73 |

## What the models said for it

- "Filtering is where Qdrant stands out — the database supports rich JSON-based filters that integrate with vector search efficiently. This makes it ideal for B2B use cases requiring complex filtering." (Claude Haiku 4.5, Vector databases)
- "Qdrant consistently receives the most favorable reviews across testing ... If you need a dedicated vector database, it's often the safer choice." (DeepSeek V4 Flash, Vector databases)
- "Most teams should evaluate Qdrant (for performance and flexibility) or Weaviate (for AI-native features) as their primary options" (GLM 4.7 FlashX, Vector databases)
- "Pinecone or Qdrant Cloud are the best starting points due to their balance of performance, ease of use, and managed options" (Mistral Small, Vector databases)

## And against it

- "reported with a serious flaw in the same round up" (Muse Glimmer 30B, Vector databases)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 2 | 1 | 0 | 5 |
| GPT-5.4 mini | 0 | 4 | 0 | 0 | 4 |
| Gemini 3.5 Flash | 2 | 4 | 0 | 0 | 6 |
| Perplexity Sonar | 2 | 3 | 0 | 0 | 5 |
| Grok 4.20 | 1 | 5 | 0 | 0 | 6 |
| Mistral Small | 2 | 1 | 2 | 0 | 5 |
| DeepSeek V4 Flash | 5 | 1 | 0 | 0 | 6 |
| Llama 4 Maverick | 1 | 2 | 1 | 0 | 4 |
| Qwen 3.7 Flash | 1 | 4 | 0 | 0 | 5 |
| Kimi K2 | 3 | 2 | 0 | 0 | 5 |
| GLM 4.7 FlashX | 1 | 3 | 0 | 0 | 4 |
| MiniMax M2.5 | 2 | 4 | 1 | 0 | 7 |
| GPT-6 Luna | 2 | 3 | 0 | 0 | 5 |
| Muse Glimmer 30B | 1 | 4 | 0 | 1 | 6 |

## Sources returned with these answers

The sites and pages cited by the answers that named Qdrant, from 186 of the 215 answers that named it (only the models that return a source list).

### Domains cited

- github.com: 107
- dev.to: 73
- g2.com: 65
- linkedin.com: 49
- qdrant.tech: 42 (its own site)
- actian.com: 32
- pinecone.io: 32
- geekflare.com: 30
- gane.ai/index: 29
- milvus.io: 29

### Pages cited

- https://g2.com/articles/best-vector-databases: 59
- https://geekflare.com/open-source/vector-database: 30
- https://sganalytics.com/blog/top-vector-databases-enterprise-ai: 28
- https://atlan.com/know/top-vector-databases-enterprise-ai: 23
- https://github.com/exploreborders/RAG_Architecture/blob/main/docs/3-technical/vector-databases.md: 23
- https://s3.amazonaws.com/eckerson/content_assets/assets/000/000/470/original/111424_TT_Vector_Database_v2_(1).pdf: 23
- https://marktechpost.com/2026/05/10/best-vector-databases-in-2026-pricing-scale-limits-and-architecture-tradeoffs-across-nine-leading-systems: 21
- https://mixpeek.com/curated-lists/best-vector-databases: 19

## In its own words

What Qdrant's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: High-Performance Vector Search at Scale (https://qdrant.tech/)
- For: Engineers (https://qdrant.tech/)
- Price stated: Community free; Managed Cloud from 25$; Enterprise on request (https://qdrant.tech/)
- Starting price: from 25$ (https://qdrant.tech/)
- Free plan or trial: Start Free (https://qdrant.tech/)
- Certifications: HIPAA, GDPR, SOC 2 Type II
- Hosting: AWS, GCP, Azure
- Customers named: Tripadvisor, OpenTable, Deutsche Telekom, HubSpot, Dust, Lyzr, and AI, Cosmos

## What it publishes

Every page qdrant.tech exposes, read 2026-09-29: 812 addresses. By kind, pages and the last 90 days:

- blog: 206 pages, 6 in the last 90 days, latest 2026-09-16
- case study: 51 pages, 2 in the last 90 days, latest 2026-08-13
- webinar or virtual event: 3 pages, 0 in the last 90 days, latest undated
- report or ebook: 1 pages, 0 in the last 90 days, latest undated
- comparison: 4 pages, 1 in the last 90 days, latest 2026-08-07
- template or tool: 2 pages, 0 in the last 90 days, latest 0001-01-01
- glossary or explainer: 9 pages, 0 in the last 90 days, latest 2024-10-09
- Recent: 2026-09-16 blog: Shift multilingual rag https://qdrant.tech/blog/shift-multilingual-rag
- Recent: 2026-09-08 blog: Hyperbolic embeddings qdrant https://qdrant.tech/articles/hyperbolic-embeddings-qdrant
- Recent: 2026-08-24 blog: Tuning retrieval which knob first https://qdrant.tech/blog/tuning-retrieval-which-knob-first
- Recent: 2026-08-13 case study: Case study bayer https://qdrant.tech/blog/case-study-bayer
- Recent: 2026-08-13 case study: Case study minima https://qdrant.tech/blog/case-study-minima
- Recent: 2026-08-07 comparison: Pre filtering vs post filtering https://qdrant.tech/blog/pre-filtering-vs-post-filtering

## Record

- Method: https://www.gane.ai/index/it/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/it.