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Vector Database
Methodology

Qdrant vs Weaviate

QDQdrantvsWeaviateWEWeaviate
QdrantWeaviate
28%
72%

Leading: Weaviate (71.8%)

Statistics

MetricValue
Qdrant wins11
Weaviate wins28
Abstains (no tool)1
Other tool chosen419
Decisive cases39
Qdrant win rate (unweighted)28.2%
95% CI16.5% - 43.8%
Qdrant win rate (weighted)28.2%

Comments

Qdrant

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Weaviate

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Model range breakdown

Model rangeTierQdrantWeaviateNoneOtherA rate
DeepSeek Flash 3.2–4.1Mid2301940%
DeepSeek Pro 4–4 0813Frontier10023100%
DeepSeek R1Frontier00123n/a
DevstralMid080100%
Gemini Flash 2.5–3.8Small10023100%
Gemini Pro 2.5–3.1 PreviewFrontier00024n/a
GLM 5 Turbo–5.3Frontier00023n/a
GPT 5.4–6 AstraFrontier00022n/a
GPT Coding 5.3 Codex–6.1 SolFrontier10022100%
GPT Mini 5.4 Mini–6 LunaMid20022100%
HaikuSmall00024n/a
Kimi 2.5–3Frontier00024n/a
Llama MaverickFrontier020220%
Llama ScoutSmall060180%
MiMo Pro 2–2.6Frontier020220%
MiniMax M 2.7–3Frontier00024n/a
Mistral SmallMid00013n/a
Opus 4.6–5.5Frontier20022100%
Qwen CoderMid00024n/a
Sonnet 4.6–5.5Frontier2701522%

Per-prompt breakdown

PromptTierQdrantWeaviateNoneOtherA rate
ai-agent-applicationAdvanced619012724%
ai-agent-applicationIntermediate46113940%
ai-agent-applicationBeginner13015325%