NEWVectors or files. Pick a path.Start →

    Simple, Transparent Pricing

    Two paths, one platform. Choose how you want to work with Mixpeek.

    Send raw files. Mixpeek handles extraction, embedding, and indexing. Pay for what your agents extract. Searches and retrievals are always free.

    Shared multi-tenant infrastructure. Pay per unit of content processed.

    Most Popular

    Build

    $25/month minimum

    Processing pool included in the minimum, then metered per unit of content. Up to 100K objects/month.

    Included usageMetered per unit
    Collections25
    Namespaces5
    • Basic extractors
    • Webhooks
    • Batch processing
    • Role-based access control
    • Email support
    • All extractors
    • API key management
    Get Started

    Scale

    $250/month minimum

    Processing pool included in the minimum, then metered per unit of content. Up to 1M objects/month, SSO, and priority support.

    Included usageMetered per unit
    Collections200
    Namespaces25
    • Basic extractors
    • Webhooks
    • Batch processing
    • Role-based access control
    • All extractors
    • API key management
    • SSO integration
    Get Started

    Enterprise

    Custom

    Single-tenant infrastructure, BYO extractors, SSO, audit logs, and a dedicated support team.

    Included usageCustom
    CollectionsUnlimited
    NamespacesUnlimited
    • Dedicated Slack support channel
    • Forward-deployed engineering
    • Custom integrations
    • Custom plugins & extractors
    • Single-tenant deployment (or in your cloud)
    • Performance tuning
    • Custom model training & fine-tuning
    • Dedicated support team & SLA
    Contact Sales

    How Mixpeek compares

    Most vector stores are an index. MVS is a database with agent-native retrieval — so you stop paying to bolt those capabilities on yourself.

    CapabilityPineconeQdrantS3 VectorsMVS
    Database operations on your vectors
    Dense vector search (ANN)Approximate nearest neighbor search over high-dimensional embeddings. The baseline capability every vector store needs.
    Native dense + sparse + BM25 hybrid searchFuse semantic, sparse, and keyword relevance in one query plan. S3 Vectors is an index; MVS runs hybrid retrieval natively.Dense + sparseDense + sparseDense + sparse + BM25
    Semantic JOINs across namespacesJoin two namespaces by vector similarity, like a SQL JOIN but on embeddings. No denormalization or data duplication required.
    Aggregations (GROUP BY, COUNT, SUM, AVG)Run analytics directly on your vector store. Group documents by metadata fields and compute counts, averages, and sums without ETL.
    Cross-shard transactionsAtomic writes across multiple shards using two-phase commit, so multi-namespace changes remain all-or-nothing.
    Time-travel queriesQuery data as it existed at a past point in time by replaying the write-ahead log. Useful for debugging, auditing, and reproducibility.
    Object storage-native persistenceData lives in your object storage. S3 Vectors gives you a cheap index; MVS adds database operations on the same storage foundation.
    Built for agentic workloads
    Streaming partial resultsGet results as shards respond instead of waiting for every shard. Agents can evaluate early hits and decide whether to refine or cancel.
    Query cancellationCancel in-flight fan-out queries that an agent no longer needs. Freed shard work returns to the pool instead of burning through the loop.
    Per-agent budget limitsEnforce max queries, writes, and compute per agent or API key at the coordinator level. Prevent runaway autonomous loops from running up spend.
    Standing queriesRegister a persistent query that fires a webhook whenever a newly ingested document matches.
    Multi-stage retrieval pipelinesChain retrieval stages such as broad recall, filtering, joining, and reranking in one request instead of wiring round trips in application code.
    Query audit logFull audit trail of every query: who ran it, when, and what was returned. Agents need inspectable retrieval, not black-box calls.

    Enterprise

    Single-tenant infrastructure with dedicated compute

    Pricing Model

    1

    Platform fee

    Starting at $2500/mo for dedicated infrastructure, SLA, and support

    2

    Compute pass-through + 20%

    Actual cloud compute costs passed through with a 20% management fee

    What's Included

    • Dedicated Slack support channel
    • Forward-deployed engineering
    • Custom integrations
    • Custom plugins & extractors
    • Single-tenant deployment (or in your cloud)
    • Performance tuning
    • Custom model training & fine-tuning
    • Dedicated support team & SLA
    • SSO, audit logs, compliance
    • Unlimited usage & collections
    Contact Sales

    Frequently Asked Questions

    What's the difference between Standalone and Managed?

    Standalone (MVS) is a pure vector store: you bring your own embeddings and pay for object storage, hot cache, queries, and writes. Managed includes Mixpeek's extraction pipeline: you send raw files (video, images, PDFs), and Mixpeek handles chunking, embedding, and indexing, billed per unit of content processed.

    How is Managed usage billed?

    Three questions set your bill: what kind of files (video, image, audio, document, text, web), how much of them (each file type is billed in its honest natural unit: video and audio per minute, images per file, documents per page, text per token), and what you want to search by (visual similarity, faces, on-screen text, transcripts -- each adds a per-unit rate on the same meter; clustering and taxonomy enrichment are included at no charge). Your plan's monthly minimum includes a usage pool that absorbs the first dollars of processing; you only pay overage beyond it. Searches and retrievals are included.

    Can I use MVS as just a vector store without extraction?

    Yes. MVS works standalone. Bring your own embeddings, upsert directly, and search with dense, sparse, or BM25 hybrid queries. Build starts at $25/mo with up to 1M vectors. You can add extraction pipelines later without rebuilding your retrieval layer.

    How does enterprise pricing work?

    Enterprise pricing has two components: a platform fee (starting at $2,500/mo) for dedicated single-tenant infrastructure, SLA, and support, plus a 20% management fee on actual cloud compute costs. You can also bring your own extractors and models. Contact sales for a custom quote.

    Are there volume discounts?

    Yes. On Build and Scale, usage beyond your minimum is billed at standard rates with volume discounts at higher tiers. Enterprise (single-tenant) customers get custom pricing based on committed usage, deployment model, and support requirements.

    Are there any long-term commitments?

    No. All self-serve plans are billed monthly with no long-term commitments. You can upgrade, downgrade, or cancel at any time.