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Vector databases · October 2026 Edition

Pinecone vs Qdrant

Five of fourteen models named Pinecone first on the direct prompt; four named Qdrant. Both were named by all fourteen models and both carry 70 labels, so the shares below are directly comparable.

Pinecone

criticized challenger

Named in one category this edition.

Qdrant

accepted challenger

Named in two categories this edition.

First-choice share25%22%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.

Negative rate26%4%Negative labels as a share of the product's labels, 0 to 100.

Rank in category#2#3A position in a field of 10; printed, not drawn.

Labels7070Equal, which is what makes the shares comparable.

The two percentage rows are drawn on one 0 to 100 track, Pinecone reading right to left. Rank and label count are printed, not drawn.Weaviate was named alongside these two in eleven of the fourteen direct answers. pgvector vs Pinecone · pgvector vs Qdrant · Pinecone vs Chroma

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.

PineconeFirst choices, of fourteen modelsQdrant

Direct541 against Pinecone

Paraphrase73

Comparative102

Budget-constrained066 against Pinecone

Scale-constrained411 against Pinecone

Negative0210 against Pinecone · 3 against Qdrant

Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Pinecone and Qdrant were named in the same answer 197 times, of the 218 answers naming Pinecone and the 213 naming Qdrant. In those answers Qdrant took the first choice thirty-two times and Pinecone seventy-one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Pinecone and Qdrant stood in it.

Model	Direct	Paraphrase	Comparative	Budget-constrained	Scale-constrained	Negative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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

Pinecone

Qdrant

first choice

named as an alternative

argued againstblank: not namedEach cell is one answer, Pinecone on the left and Qdrant on the right.

The direct prompt

The plain question, one answer per model, grouped by where Pinecone and Qdrant stood in it.

Pinecone first, Qdrant an alternative

5 of 14 modelsQdrant was named in the answer but not as the choice, or not at all.

Claude Haiku 4.5Pinecone, Weaviate

GPT-5.4 miniPinecone alternatives: Qdrant, Weaviate

Qwen 3.7 FlashPinecone alternatives: MongoDB Atlas Vector Search, Weaviate

MiniMax M2.5Pinecone alternatives: Elasticsearch, Milvus, Weaviate

Muse Glimmer 30BPinecone, pgvector alternatives: Qdrant, Weaviate

Qdrant first, Pinecone an alternative

4 of 14 modelsPinecone was named in the answer but not as the choice, or not at all.

Perplexity SonarQdrant, pgvector alternatives: Pinecone, Weaviate

DeepSeek V4 FlashQdrant, pgvector alternatives: Pinecone, Weaviate

GLM 4.7 FlashXQdrant, Weaviate alternatives: pgvector

GPT-6 LunaQdrant alternatives: Pinecone, pgvector

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.

Gemini 3.5 Flashpgvector alternatives: Pinecone, Qdrant, Weaviate

Grok 4.1 Fastpgvector alternatives: Pinecone, Qdrant, Weaviate

Kimi K2pgvector alternatives: Pinecone, Qdrant, Weaviate

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.

Mistral Smallpgvector alternatives: pgvectorscale

Llama 4 Maverickpgvector

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.

Small business

Pinecone leads by seven points.

Pinecone#2 of 7

Qdrant#3 of 7

The full small business standing →

Mid-marketThe figures above

Pinecone leads by three points.

Pinecone#2 of 10

Qdrant#3 of 10

The full mid-market standing →

Enterprise

Pinecone leads by fifty points.

Pinecone#1 of 10

Qdrant#2 of 10

The full enterprise standing →

What the models said about Pinecone

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Pinecone operates as a "black box" with no infrastructure access or visibility into underlying systems. It's notably expensive” MiniMax M2.5 · negative prompt · hard negative

“Be cautious about closed-source managed vendors (especially Pinecone) where you risk lock-in and escalating costs” DeepSeek V4 Flash · negative prompt · hard negative

“Pinecone (serverless) | Unpredictable costs, vendor lock-in, known outages” GLM 4.7 FlashX · negative prompt · hard negative

“The lowest operational overhead. You pay purely for what you write and read, with zero cluster management or pod sizing. Ideal if you want to ship fast.” Gemini 3.5 Flash · scale prompt · first choice

“For most teams, Pinecone is recommended if you want zero-ops managed deployment, and Qdrant if you want open-source performance and cost control.” Claude Haiku 4.5 · comparative prompt · first choice

“I'd recommend either Pinecone (if you prioritize ease and managed infrastructure) or Weaviate (if you want flexibility and cost control)” Claude Haiku 4.5 · direct prompt · first choice

What the models said about Qdrant

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“The open source engine is strong technically, but self-hosting requires hardening defaults and active patching.” Muse Glimmer 30B · negative prompt · soft negative

“Qdrant \u2013 Known production issues ... Performance issues, GLIBC issues, steep learning curve” GLM 4.7 FlashX · negative prompt · soft negative

“Qdrant had a reported arbitrary-file-write issue involving its logger endpoint.” GPT-6 Luna · negative prompt · soft negative

“For most mid-market companies, pgvector or Qdrant represent the best balance of cost, capability, and practical feasibility” DeepSeek V4 Flash · direct prompt · first choice

“I would usually recommend Qdrant if you want a strong balance of production readiness, flexibility, and cost control” Perplexity Sonar · paraphrase prompt · first choice

“I'd recommend Qdrant for most mid-market B2B use cases because it appears most consistently favored for this segment” Perplexity Sonar · direct prompt · first choice

Also compared

pgvector vs Pinecone pgvector vs Qdrant Pinecone vs Chroma Pinecone vs Weaviate Pinecone vs Milvus Pinecone vs MongoDB Atlas Vector Search Qdrant vs Chroma Qdrant vs Weaviate Qdrant vs Milvus Qdrant vs MongoDB Atlas Vector Search All twenty-one head-to-head pages and the full vector databases standing

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.