Vector databases
Asked as “vector database”, and as “vector search database for AI applications”, on behalf of a mid-market B2B company. 65 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
35%
Contested · Pinecone 25%
35pgvector25Pinecone22Qdrant18others
35% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: pgvector (36%) replaces Qdrant (37% then, 20% now), 16 points clear, past the 11-point floor.pgvector leads at 36%, replacing Qdrant, which led at 37% and stands at 20% now: 16 points clear, past the floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small businesspgvector49%Clear leader▼−1Since September 2026: 46% → 45%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketpgvector35%Contested↗new leaderNew leader since September 2026: pgvector (36%) replaces Qdrant (37% then, 20% now), 16 points clear, past the 11-point floor.This pageEnterprise
Pinecone59%Clear leader▲+2Since September 2026: 53% → 55%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →
Pinecone59%Clear leader▲+2Since September 2026: 53% → 55%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →The standing
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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01pgvector35%6%66endorsed leader▲+1Since September 2026: 35% → 36%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.35% → 36%
02Pinecone25%26%70criticized challenger▲+10Since September 2026: 14% → 24%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 24%
Pinecone25%26%70criticized challenger▲+10Since September 2026: 14% → 24%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 24%03
Qdrant22%4%70accepted challenger▼−17Since September 2026: 37% → 20%, −17 points. Past the 11-point floor: movement. Read over the models both editions asked.37% → 20%
Qdrant22%4%70accepted challenger▼−17Since September 2026: 37% → 20%, −17 points. Past the 11-point floor: movement. Read over the models both editions asked.37% → 20%04
Chroma6%31%36criticized challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 7%
Chroma6%31%36criticized challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 7%05
Weaviate5%10%67accepted challenger=heldSince September 2026: 6% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 5%
Weaviate5%10%67accepted challenger=heldSince September 2026: 6% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 5%06
Milvus3%20%41accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
Milvus3%20%41accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%07
MongoDB Atlas Vector Search2%8%12accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
MongoDB Atlas Vector Search2%8%12accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%Show the three products at 0%, ordered by negative rate
09
Milvus / Zilliz Cloud0%25%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Milvus / Zilliz Cloud0%25%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08
LanceDB0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
LanceDB0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%10
Redis0%0%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Redis0%0%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-one head-to-head pages: the top seven products, each against each
pgvector vs Weaviatepgvector vs Milvuspgvector vs MongoDB Atlas Vector SearchPinecone vs QdrantPinecone vs ChromaPinecone vs WeaviatePinecone vs MilvusPinecone vs MongoDB Atlas Vector SearchQdrant vs ChromaQdrant vs WeaviateQdrant vs MilvusQdrant vs MongoDB Atlas Vector SearchChroma vs WeaviateChroma vs MilvusChroma vs MongoDB Atlas Vector SearchWeaviate vs MilvusWeaviate vs MongoDB Atlas Vector SearchMilvus vs MongoDB Atlas Vector Search
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
p01
020304050607080910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01pgvector35%
02Pinecone25%
Pinecone25%03Qdrant22%
Qdrant22%04Chroma6%
Chroma6%05Weaviate5%
Weaviate5%06Milvus3%
Milvus3%07MongoDB Atlas Vector Search2%
MongoDB Atlas Vector Search2%08LanceDB0%
LanceDB0%09Milvus / Zilliz Cloud0%
Milvus / Zilliz Cloud0%10Redis0%
Redis0%What they warned about
Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Pinecone26%
18 of 70 labels negative · 13 of 14 models · 4 hard negative
“Pinecone operates as a "black box" with no infrastructure access or visibility into underlying systems. It's notably expensive” MiniMax M2.5, negative prompt
Chroma31%
11 of 36 labels negative · 8 of 14 models · 3 hard negative
“Chroma has experienced significant production issues, including a critical memory leak... A severe cache invalidation bug in version 0.5 caused p99 latency to spike from 42ms to 542ms” MiniMax M2.5, negative prompt
Milvus20%
8 of 41 labels negative · 7 of 14 models · 1 hard negative
“heavy self-hosted systems like Milvus (requires Kubernetes know-how) ... neither is friendly to a limited budget” DeepSeek V4 Flash, budget prompt
Weaviate10%
7 of 67 labels negative · 7 of 14 models
“Weaviate's own security checklist says self-managed deployments allow anonymous queries by default unless you configure auth. That's fine for local dev, but risky for production.” GPT-5.4 mini, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
76 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 984 links across 272 sites, every framing counted. Ranked by the number of answers carrying the site or page. 16 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
34 answers · 43 citations · 10 models
vendor site · Atlan29 answers · 30 citations · 12 models
27 answers · 30 citations · 10 models
vendor site · G225 answers · 32 citations · 9 models
21 answers · 22 citations · 9 models
vendor site · Firecrawl21 answers · 21 citations · 9 models
20 answers · 20 citations · 11 models
19 answers · 20 citations · 10 models
16 answers · 19 citations · 10 models
16 answers · 16 citations · 8 models
14 answers · 14 citations · 8 models
14 answers · 14 citations · 7 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
26 answers · 12 models
26 answers · 10 models
22 answers · 8 models
22 answers · 8 models
21 answers · 9 models
17 answers · 7 models
16 answers · 8 models
15 answers · 10 models
14 answers · 8 models
14 answers · 7 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best vector database”, “vector database”, “vector databases”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| pgvector | 35% | 5,400 | 119 | |||||
| Pinecone pinecone.io | 25% | 201 | 60,500 | 3,929 | 90,633 | 14 | 4 | |
| Qdrant qdrant.tech | 22% | 198 | 6,600 | 180 | 8,064 | 24 | ||
| Chroma trychroma.com | 6% | 94 | 33,100 | 7,156 | 2,101 | 0 | ||
| Weaviate weaviate.io | 5% | 187 | 2,900 | 54 | 5,054 | |||
| Milvus milvus.io Milvus 3%, Milvus / Zilliz Cloud 0% | 3% | 127 | 3,600 | 169 | 52,360 | |||
| MongoDB mongodb.com MongoDB Atlas Vector Search 2% | 2% | 19 | 74,000 | 9,630 | 342,632 company | $8,625 | 120 | |
| Supabase supabase.com | 2% | 65 | 165,000 | 1,974 | 91,424 | 4 | ||
| Qdrant Managed Cloud | 2% | |||||||
| LanceDB lancedb.com | 0% | 31 | 2,900 | 30 | 1,213 | 18 |
Google's top ten for the three searches hold 16 sites; 3 of them are among the sites the models cited here (encore.dev, g2.com, pecollective.com). The first result for “best vector database” is zenml.io.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best vector database for a mid-market B2B company?”Paraphrase“Which vector search database for AI applications would you recommend to a mid-sized B2B company?”Comparative“What are the top vector databases and how do they differ?”Budget-constrained“What is the best vector database for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a vector database. What should we look at?”Negative“Which vector databases should I avoid or be cautious about?”
Claude Haiku 4.5Pinecone, WeaviateWeaviate, pgvectorChangedPinecone, Qdrantagainst: Chroma, MilvusMilvus, Qdrant, Supabaseno first choiceagainst: Azure AI Search, Chroma, Pinecone
Two alternatives
Pinecone, QdrantThree alternatives
LanceDB, Weaviate, pgvectorGPT-5.4 miniPineconeagainst: MilvusPineconeHeldPinecone, WeaviateQdrantagainst: Pineconeno first choiceagainst: Weaviate
Two alternatives
Qdrant, WeaviateTwo alternatives
Qdrant, WeaviateFour alternatives
Chroma, Milvus, Qdrant, pgvectorTwo alternatives
Weaviate, pgvectorGemini 3.5 FlashpgvectorpgvectorHeldPineconepgvectoragainst: MilvusPineconeagainst: ChromaDB, Milvus, Pinecone, Weaviate, pgvector
Three alternatives
Pinecone, Qdrant, WeaviateTwo alternatives
Pinecone, QdrantEight alternatives
Chroma, LanceDB, Milvus, Qdrant, Redis, Turbopuffer, Weaviate, pgvectorThree alternatives
LanceDB, Pinecone, QdrantThree alternatives
Qdrant, Weaviate, pgvectorPerplexity SonarQdrant, pgvectorPinecone, QdrantChangedPineconeagainst: ChromaChroma, pgvectoragainst: Pineconeno first choicenothing named
Two alternatives
Pinecone, WeaviateThree alternatives
Elasticsearch, Milvus, pgvectorFour alternatives
Milvus, Qdrant, Weaviate, pgvectorOne alternative
QdrantGrok 4.1 FastpgvectorPineconeChangedagainst: Milvus / Zilliz CloudPineconepgvectoragainst: Milvus, WeaviatePinecone, pgvectoragainst: Chroma, LanceDB, MongoDB Atlas Vector Search, Pinecone, pgvector
Three alternatives
Pinecone, Qdrant, WeaviateThree alternatives
Qdrant, Weaviate, pgvectorFive alternatives
Chroma, Milvus, Qdrant, Weaviate, pgvectorTwo alternatives
Chroma, QdrantThree alternatives
Milvus / Zilliz Cloud, Qdrant, WeaviateMistral SmallpgvectorPineconeChangedno first choiceChroma, pgvectoragainst: Pinecone, Weaviateno first choiceagainst: ChromaDB, Vespa
One alternative
pgvectorscaleThree alternatives
Milvus, Qdrant, WeaviateOne alternative
MilvusDeepSeek V4 FlashQdrant, pgvectorQdrantChangedagainst: Milvus / Zilliz CloudpgvectorQdrant, pgvectoragainst: Milvus, Pineconeno first choiceagainst: Chroma, Pinecone
Two alternatives
Pinecone, WeaviateThree alternatives
Pinecone, Weaviate, pgvectorFive alternatives
Chroma, Milvus, Pinecone, Qdrant, WeaviateTwo alternatives
Chroma, WeaviateSix alternatives
Milvus, Pinecone, Qdrant, Weaviate, Zilliz Cloud, pgvectorLlama 4 Maverickpgvectorno first choiceChangedno first choiceChroma, Milvusno first choicenothing named
One alternative
pgvectorQwen 3.7 FlashPineconeagainst: Elasticsearch / OpenSearchPineconeHeldMilvus, Pineconepgvectoragainst: Pineconepgvectoragainst: Pinecone, Weaviateagainst: Elasticsearch, Milvus / Zilliz Cloud, Pinecone
Two alternatives
MongoDB Atlas Vector Search, WeaviateTwo alternatives
Qdrant, WeaviateThree alternatives
Chroma, Qdrant, WeaviateFour alternatives
Chroma, Milvus, Qdrant, WeaviateKimi K2pgvectorQdrantChangedagainst: ChromaPineconeagainst: ChromaQdrantagainst: PineconePinecone, pgvectoragainst: Chroma, Pinecone, pgvector
Three alternatives
Pinecone, Qdrant, WeaviateOne alternative
PineconeFive alternatives
LanceDB, Milvus / Zilliz Cloud, Qdrant, Weaviate, pgvectorThree alternatives
Chroma, Milvus / Zilliz Cloud, pgvectorFive alternatives
Azure AI Search, Milvus, MongoDB Atlas Vector Search, Qdrant, WeaviateGLM 4.7 FlashXQdrant, Weaviateagainst: PineconeMongoDB Atlas Vector Search, pgvectorChangedPinecone, QdrantChroma, Qdrantno first choiceagainst: Pinecone, Qdrant
One alternative
pgvectorFour alternatives
Milvus / Zilliz Cloud, Pinecone, Qdrant, WeaviateFive alternatives
Chroma, Elasticsearch, Milvus / Zilliz Cloud, Weaviate, pgvectorThree alternatives
Supabase Vector, Upstash Vector, pgvectorMiniMax M2.5PineconePineconeHeldPineconepgvectorno first choiceagainst: Chroma, Pinecone
Three alternatives
Elasticsearch, Milvus, WeaviateThree alternatives
Qdrant, Weaviate, pgvectorSix alternatives
ChromaDB, LanceDB, Milvus / Zilliz Cloud, Qdrant, Weaviate, pgvectorTwo alternatives
Qdrant, WeaviateGPT-6 LunaQdrantQdrant Managed CloudChangedno first choicepgvectorpgvectoragainst: Chroma, Milvus, Pinecone, Qdrant, Weaviate, pgvector
Two alternatives
Pinecone, pgvectorTwo alternatives
Weaviate, pgvectorSix alternatives
Elasticsearch, Milvus, Pinecone, Qdrant, Weaviate, pgvectorTwo alternatives
Pinecone, QdrantFour alternatives
Elastic, Pinecone, Qdrant, WeaviateMuse Glimmer 30BPinecone, pgvectorPineconeChangedPineconeQdrantPinecone, Qdrantagainst: Chroma, Milvus, Pinecone, Qdrant, Weaviate
Two alternatives
Qdrant, WeaviateTwo alternatives
Qdrant, WeaviateSix alternatives
Chroma, Milvus / Zilliz Cloud, Qdrant, Vespa, Weaviate, pgvector + pgvectorscaleThree alternatives
Chroma, Pinecone, pgvectorThree alternatives
Weaviate, Zilliz Cloud, pgvectorBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:53 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:09 | yes | 4 | 8 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:52 | yes | 7 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 11:14 | yes | 19 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:51 | yes | 23 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:08 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:00 | yes | 23 | 31 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:58 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:13 | yes | 5 | 16 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:05 | yes | 10 | 15 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:25 | yes | 22 | 219 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:16 | yes | 9 | 11 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:47 | yes | 3 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:35 | yes | 15 | 18 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:05 | yes | 16 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:39 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:04 | yes | 11 | 22 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:17 | yes | 15 | 5 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:36 | yes | 22 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:44 | yes | 12 | 8 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:52 | yes | 25 | 22 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:20 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:12 | yes | 25 | 56 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:43 | yes | 18 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:28 | yes | 19 | 32 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:42 | yes | 5 | 24 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:00 | yes | 3 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:52 | yes | 13 | 21 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:46 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:15 | yes | 2 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:39 | yes | 12 | 22 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:16 | yes | 19 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:56 | yes | 21 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:58 | yes | 9 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:42 | yes | 19 | 34 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:59 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:07 | no | 0 | 40 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:39 | yes | 15 | 31 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:33 | yes | 23 | 22 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:46 | yes | 5 | 15 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:26 | yes | 6 | 15 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:22 | yes | 13 | 47 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:04 | no | 0 | 4 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:10 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:46 | yes | 9 | 21 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:27 | yes | 16 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:49 | yes | 17 | 6 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:06 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:59 | yes | 19 | 24 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:46 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:18 | yes | 5 | 21 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:04 | yes | 8 | 20 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:52 | yes | 10 | 150 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:37 | yes | 10 | 16 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:31 | yes | 3 | 11 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:33 | yes | 12 | 14 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:12 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:32 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:07 | yes | 11 | 26 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:50 | yes | 16 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:08 | yes | 19 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:59 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:38 | yes | 21 | 45 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:01 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:19 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:28 | yes | 19 | 28 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:21 | yes | 21 | 51 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:04 | no | 0 | 9 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:55 | yes | 6 | 35 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:53 | yes | 14 | 33 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:05 | yes | 17 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:29 | yes | 5 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:50 | yes | 21 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:43 | yes | 19 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:10 | yes | 25 | 14 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:41 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:58 | yes | 23 | 23 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:24 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:46 | yes | 10 | 35 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:21 | yes | 23 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:05 | yes | 23 | 40 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:08 | yes | 25 | 38 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:34 | yes | 5 | 22 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:22 | yes | 24 | 32 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
MongoDB read as MongoDB Atlas Vector Search
MongoDB Atlas read as MongoDB Atlas Vector Search
PostgreSQL read as pgvector
Unresolved, counted raw
Activeloop
Chroma Cloud
NMSLIB
Qdrant Managed Cloud
SQLiteVSS
Vald
Discontinued, still offered
No shut-down product was recommended here.