Machine Learning · head to head
Milvus vs Verbit

Milvus
Machine Learning
Open-source vector database for scalable similarity search
- From
- Free
- Free plan
- Yes

Verbit
AI
Transcription and captioning combining automatic speech recognition with professional human correction
- From
- $24/month
- Free plan
- No
The short version
- Only Milvus has a free tier, so it costs nothing to try first.
- Each has a real cost: Milvus vector dimensions are capped at 32,768; Verbit only a small self-service tier has a published price; the institutional plans that most education buyers actually need are quoted, so budgeting requires a sales cycle and comparison against competitors requires several.
- They diverge on capability: Milvus covers Billion-scale vectors, Verbit covers ASR with human correction.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Milvus and Verbit actually diverge.
Identical on both: user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Milvus
- Billion-scale vectors
- Multiple index types
- GPU acceleration
- Hybrid search
- Data partitioning
- PyTorch
- TensorFlow
- Hugging Face
Only in Verbit
- ASR with human correction
- Live realtime captioning
- Domain-tuned models
- Translation and subtitling
- Audio description
- LMS and video platform integrations
- Court-admissible transcripts
- Turnaround tiers
What people use each for
The jobs each tool is most often brought in to do.
Milvus
- Self hosting a vector database for semantic searchnot Verbit
- Storing and querying embeddings for retrieval augmented generationnot Verbit
- Similarity search over images, audio or text at scalenot Verbit
Verbit
- A university that must caption recorded teaching to meet accessibility law and wants machine output for general content with human correction only where a student accommodation appliesnot Milvus
- A broadcaster needing live realtime captioning to regulatory standard, which the VITAC operation supplies rather than a pure software vendornot Milvus
- A law firm or court reporting operation needing certified transcripts of depositions with a defensible chain of accuracynot Milvus
- A market research team transcribing focus groups where speaker separation and verbatim fidelity matter more than turnaround speednot Milvus
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Milvus
- Vector dimensions are capped at 32,768
- A collection is limited to 64 fields, 1,024 partitions and 16 shards
- Only 1 index is allowed per field
- Search returns at most 16,384 vectors as top-k, and nq is capped at 16,384
- Input and output per RPC is capped at 64 MB for insert, search and query
- VARCHAR values are limited to 65,535 characters
- Data loaded into query nodes cannot exceed 90% of available memory
- An instance supports at most 65,536 collections
Verbit
- Only a small self-service tier has a published price; the institutional plans that most education buyers actually need are quoted, so budgeting requires a sales cycle and comparison against competitors requires several.
- Accuracy claims are benchmarked on clean audio with standard accents, and real lecture theatre recordings with technical vocabulary and non-native speakers fall well short, so the contracted level and the audio assumptions behind it must be written into the agreement.
- The human correction layer is what delivers the accuracy institutions buy, and it introduces turnaround times measured in hours or days, which does not suit anyone expecting transcripts immediately after a session.
- Cost scales with hours of content, so an institution that recorded everything during remote teaching and never reduced the volume can find transcription costing more than the lecture capture platform generating the recordings.
- Verbit has grown by acquisition and consolidated several transcription brands, and customers of acquired services have been migrated onto Verbit contracts and pricing on the acquirer's timetable rather than their own.
Pricing, plan by plan
Milvus
Free- Open SourceFree
- Full features
- Self-hosted
- Community support
- Zilliz CloudFree
- Managed service
- Free tier available
Verbit
$24/month- Standard$24/month
- From $24 per month
- 100 hours per month split as 50 live and 50 post-production
- Self-service sign-up
- Campus Complete$undefined/year
- Unlimited hours for an institution
- Built around media accessibility obligations
- LMS and lecture capture integrations
- Legal Capture and Legal Visor$undefined/year
- Unlimited legal transcription with court-admissible transcripts on request
- Live AI transcription and case insights
- Quoted
- Custom$undefined/year
- Enterprise deployment across the product suite
- Negotiated accuracy levels and turnaround
- Quoted
Which should you pick?
Choose Milvus if
- You need billion-scale vectors.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want multiple index types.
Choose Verbit if
- You need asr with human correction.
- You work on Web, API.
- You also want live realtime captioning.
Questions people ask
- Is Milvus or Verbit better?
- Neither clearly leads. Milvus starts at Free and Verbit at $24/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Milvus or Verbit?
- Milvus has a free tier; the other does not. Paid plans start at Free for Milvus and $24/month for Verbit.
- Does Milvus or Verbit run on more platforms?
- Milvus runs on Linux, Mac, Windows, Web. Verbit runs on Web, API.
- Can I use Milvus for free?
- Yes. Milvus has a free tier, so you can try it without paying. Verbit starts at $24/month.
- What is Milvus best used for?
- Milvus is most often used for self hosting a vector database for semantic search, storing and querying embeddings for retrieval augmented generation, similarity search over images, audio or text at scale. Of those, self hosting a vector database for semantic search and storing and querying embeddings for retrieval augmented generation are not what Verbit is typically brought in for.
- What can Milvus do that Verbit cannot?
- Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. Verbit covers ASR with human correction, Live realtime captioning, Domain-tuned models, Translation and subtitling.
Answered from the vendors’ own pages
Milvus: How much does Milvus cost?
Milvus is open-source and free to use and modify. The self-hosted version has no licensing cost. Zilliz Cloud (the managed SaaS version) does not publish pricing on the website.
SourceVerbit: Is there published pricing?
Only for the entry Standard tier at around $24 a month for 100 hours split between live and post-production. Campus Complete and the legal and media unlimited plans are quoted.
Milvus: Is there a free or open-source version of Milvus?
Yes, Milvus is fully open-source and available for free. Milvus Lite is a lightweight option for learning and prototyping that can be installed via pip.
SourceVerbit: What accuracy does Verbit deliver?
Machine-only output is materially less accurate than the corrected tiers. Accuracy is a contracted service level on the human-corrected plans, and it assumes reasonable audio quality. Negotiate the figure and the remedy, not the marketing number.
Milvus: Does Milvus offer a managed cloud service?
Yes, Zilliz Cloud is a fully managed Milvus cloud offering with serverless and dedicated cluster options. Pricing must be requested from the company as it is not listed on the public website.
SourceVerbit: What is VITAC?
A large North American broadcast captioning business Verbit acquired in 2021. It is why Verbit can supply live realtime captioning at broadcast standard rather than only post-production transcripts.
Verbit: Can I mix machine and human transcription?
Yes, and it is the main reason education buyers choose Verbit: route routine content through machine processing and accommodation-covered content through human correction on the same account.
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