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Embeddings 4.6/10

Standard: dedicated cluster, usage-based (~$0.078/GB-hour RAM); a small ~1 GB cluster runs ~$25-30/mo. 99.5% SLA, vertical/horizontal scaling, backups, free inference tokens.

Qdrant Cloud scores 4.6/10 for free value in Embeddings. The main constraint: Paid — from ~$25/mo (Standard, usage-based). Standard: dedicated cluster, usage-based (~$0.078/GB-hour RAM); a small ~1 GB cluster runs ~$25-30/mo. 99.5% SLA, vertical/horizontal scaling, backups, free inference tokens.

Category Embeddings Kind Paid plan

Free value score

4.6 / 10
Show the math
Overall 4.6/10
value = 4.6/100
weighted_components_v1
Free value 1/10
value = 0 ×
fixed_log_v1
Search fit 8.2/10
value = 8.2/100
policy_score_v1
Access 8/10
value = 8/100
policy_score_v1

Key metrics

1 tokens/mo Monthly tokens policy_default: Conservative scoring fallback: no renewable monthly token allowance is published in this item.
1 tokens/min Tokens/min policy_default: Conservative scoring fallback: no comparable token throughput allowance is published in this item.
0.001 GB Storage policy_default: Conservative scoring fallback: no comparable included storage allowance is published in this item.
~$25/mo
$0.078/GBh
99.5% SLA

What you get

Paid — from ~$25/mo (Standard, usage-based). Standard: dedicated cluster, usage-based (~$0.078/GB-hour RAM); a small ~1 GB cluster runs ~$25-30/mo. 99.5% SLA, vertical/horizontal scaling, backups, free inference tokens.

Among the cheapest dedicated vector clusters; ~$0.095/GB storage class economics at scale — high-performance Rust vector DB, strong price/recall with

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Sources

paid value embeddings vector-database

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