Six of fourteen models named Qdrant first on the direct prompt; five named Pinecone. Both were named by all fourteen models and Qdrant carries 73 labels and Pinecone 65, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the vector databases page.
Across every category in the November 2026 Edition, Qdrant and Pinecone were named in the same answer 201 times, of the 215 answers naming Qdrant and the 219 naming Pinecone. In those answers Pinecone took the first choice fifty-two times and Qdrant fifty-one.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“reported with a serious flaw in the same round up” Muse Glimmer 30B · negative prompt · soft negative
“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 · direct prompt · first choice
“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 · negative prompt · first choice
“Most teams should evaluate Qdrant (for performance and flexibility) or Weaviate (for AI-native features) as their primary options” GLM 4.7 FlashX · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid for a limited budget: Pinecone — managed services with $50 minimums and costs that blow past initial estimates” DeepSeek V4 Flash · budget prompt · hard negative
“What to Avoid on a Tight Budget - Managed services like Pinecone (starts at ~$70/month for basics” Grok 4.20 · budget prompt · hard negative
“What to Avoid on a Budget - Pinecone — Excellent product but starts at ~$70/month” MiniMax M2.5 · budget prompt · hard negative
“The most widely adopted vector database in the mid-market, with a 57% adoption rate... If you want the most popular and easiest managed solution, choose Pinecone.” Mistral Small · direct prompt · first choice
“### 1. Pinecone (Best for Simplicity) ... Choose Pinecone if you prioritize operational simplicity and have modest data volumes” Claude Haiku 4.5 · paraphrase prompt · first choice
“Fully managed, zero ops overhead, serverless architecture | Rapid prototyping to production for teams wanting no infra management.” Gemini 3.5 Flash · scale prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.