Six of fourteen models named Qdrant first on the direct prompt; one named Weaviate. Both were named by all fourteen models and Qdrant carries 73 labels and Weaviate 60, 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 Weaviate were named in the same answer 170 times, of the 215 answers naming Qdrant and the 183 naming Weaviate. In those answers Weaviate took the first choice seven times and Qdrant forty-nine.
| 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.
“What to Avoid on a Budget ... Weaviate — More complex to set up and resource-intensive” MiniMax M2.5 · budget prompt · hard negative
“Managed Weaviate — $25–45/month minimums plus hidden infrastructure costs” DeepSeek V4 Flash · budget prompt · hard negative
“Running a dedicated service (like Weaviate, Pinecone, or Qdrant) alongside your primary database increases infrastructure costs” Qwen 3.7 Flash · negative prompt · soft negative
“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
“For most mid-market B2B companies, Weaviate or Qdrant offer the best balance of cost, performance, and flexibility” MiniMax M2.5 · direct prompt · first choice
“we often recommend starting with a specialized open-source solution like Weaviate (using their cloud tier)” Qwen 3.7 Flash · paraphrase 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.