Weaviate vs Milvus
One of fourteen models named Weaviate first on the direct prompt; zero named Milvus. Both were named by all fourteen models and Weaviate carries 60 labels and Milvus 43, 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.
By framing
WeaviateFirst choices, of fourteen modelsMilvus
Across every category in the November 2026 Edition, Weaviate and Milvus were named in the same answer ninety-two times, of the 183 answers naming Weaviate and the 114 naming Milvus. In those answers Milvus took the first choice three times and Weaviate seven.
Every model, every framing
| 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 | | | | |
Weaviate Milvus first choice named as an alternative argued againstblank: not namedEach cell is one answer, Weaviate on the left and Milvus on the right.The direct prompt
Weaviate first, Milvus an alternative
1 of 14 modelsMilvus was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
What the models said about Weaviate
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
What the models said about Milvus
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Milvus for small or moderate workloads: ... it can require substantially more memory and operational complexity than lighter alternatives” Perplexity Sonar · negative prompt · soft negative
“If you need a more scalable, distributed solution later, but it's overkill for early stages.” GLM 4.7 FlashX · budget prompt · soft negative
“Handles massive scale (10B+ vectors) but higher memory use (up to 2.6GB in benchmarks)” Grok 4.20 · budget prompt · soft negative
“If you have a platform/DevOps team: Evaluate Milvus or Qdrant self-hosted for cost control at scale” Kimi K2 · scale prompt · first choice
“Open-source, battle-tested at scale (used by big tech), and offers managed cloud (Zilliz Cloud).” MiniMax M2.5 · direct prompt · alternative
“Expect a large distributed deployment or need extensive index choices? Evaluate Milvus.” GPT-6 Luna · comparative prompt · alternative
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.