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Perplexity vs Seldon

Perplexity logo

Perplexity

AI

AI-powered answer engine with citations

From
Free
Free plan
Yes
Full reviewWebsite
Seldon logo

Seldon

Machine Learning

Kubernetes model serving whose current version is licensed under the Business Source Licence

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Perplexity context window has been stealthily reduced despite prior claims of 1-million-token capacity; Seldon seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • They diverge on capability: Perplexity covers Real-time web search, Seldon covers Kubernetes custom resources.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Perplexity and Seldon actually diverge.

Attributes where Perplexity and Seldon differ
AttributePerplexitySeldon
Pricing modelUnknownfreemium
PlatformsWeb, iOS, Android, Comet (AI browser)Linux
CategoryAIMachine Learning
Founded20222014

Identical on both: starting price (Free), free tier (Yes), 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 Perplexity

  • Real-time web search
  • Source citations
  • Follow-up questions
  • File analysis
  • Browser extension
  • API access
  • Mobile apps
  • Web support

Only in Seldon

  • Kubernetes custom resources
  • Inference graphs
  • Traffic strategies
  • Open Inference Protocol
  • Alibi Explain
  • Alibi Detect
  • Kafka-backed pipelines in v2
  • Commercial control plane

What people use each for

The jobs each tool is most often brought in to do.

Perplexity

  • ai tools managementnot Seldon
  • Workflow automationnot Seldon
  • Reportingnot Seldon

Seldon

  • Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Perplexity
  • Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Perplexity
  • Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Perplexity
  • Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Perplexity

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Perplexity

  • Context window has been stealthily reduced despite prior claims of 1-million-token capacity
  • Citations sometimes point to irrelevant or overly general articles that do not support the stated claims
  • Weak performance on complex multi-step reasoning and deep logic compared to dedicated reasoning LLMs
  • Web crawler ignores robots.txt directives and scrapes content from sites that explicitly opted out
  • Pro subscription quotas and feature access quietly reduced without user notification

Seldon

  • Seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • Core v1 remains Apache 2.0 but is in maintenance, so taking the free route means running software that receives no new development while the architecture it belongs to moves on without it.
  • Version 2 is a different system rather than a newer release, with different custom resources, a scheduler component and a Kafka-based pipeline model, so migrating from v1 is a re-implementation of every deployment manifest rather than an upgrade.
  • Kafka is a dependency for v2 pipelines, so an organisation that does not already operate it takes on a distributed log with its own storage, retention, rebalancing and failure modes purely in order to serve models.
  • Everything assumes Kubernetes fluency and the failure modes are Kubernetes failure modes, custom resource version mismatches, an operator that will not reconcile, admission webhooks and resource limits terminating an inference pod mid-request, so it needs a platform engineer rather than a data scientist.

Pricing, plan by plan

Perplexity

Free
  • FreeFree
    • Unlimited basic searches
    • 3 Pro Searches per day
    • 1 Research query per month
  • Pro$20/month
    • Unlimited Pro Searches
    • Advanced AI models
    • All free features
  • Pro Annual$200/year
    • Unlimited Pro Searches
    • Advanced AI models
    • All free features
  • Max$200/month
    • Unlimited Pro Searches
    • Labs multi-agent orchestration
    • Perplexity Computer with 19 AI sub-agents

Seldon

Free
  • Seldon CoreFree
    • Open source
    • Kubernetes deployment
    • Model serving
  • Seldon DeployFree
    • Enterprise features
    • GUI
    • Monitoring

Which should you pick?

Choose Perplexity if

  • You need real-time web search.
  • You want to start without paying.
  • You work on Web, iOS, Android, Comet (AI browser).
  • You also want source citations.
Perplexity review

Choose Seldon if

  • You need kubernetes custom resources.
  • You want to start without paying.
  • You work on Linux.
  • You also want inference graphs.
Seldon review

Questions people ask

Is Perplexity or Seldon better?
Neither clearly leads. Perplexity starts at Free and Seldon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Perplexity or Seldon?
Perplexity starts at Free and Seldon at Free.
Does Perplexity or Seldon run on more platforms?
Perplexity runs on Web, iOS, Android, Comet (AI browser). Seldon runs on Linux.
Can I use Perplexity for free?
Both have a free tier, so you can try either at no cost before committing.
What is Perplexity best used for?
Perplexity is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Seldon is typically brought in for.
What can Perplexity do that Seldon cannot?
Perplexity covers Real-time web search, Source citations, Follow-up questions, File analysis. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.

Answered from the vendors’ own pages

Perplexity: Is Perplexity completely free?

Perplexity has a free tier with unlimited basic searches and 3 Pro Searches per day. Pro ($20/month or $200/year) and Max ($200/month) tiers unlock more advanced features like multi-model access and unrestricted queries.

Source
Seldon: Is Seldon open source?

Partly, and this is the thing to check before you build on it. Core v1 is Apache 2.0 but in maintenance. Core v2 was moved to the Business Source Licence in 2024, which allows evaluation but not unlicensed production use. Verify the current licence of each component you intend to run, including MLServer and the Alibi libraries.

Perplexity: What is the difference between Pro and Max?

Pro provides access to advanced AI models like GPT-5.2, Claude Sonnet 4.5, and Gemini 3 Pro. Max adds Labs for multi-agent orchestration, Perplexity Computer with 19 specialized AI sub-agents, and 10,000 Computer credits per month.

Source
Seldon: What is the difference between v1 and v2?

Architecture, not just version number. v2 introduces a scheduler, a different set of custom resources and Kafka-backed pipelines. Manifests, mental model and operations all change, so treat a move as a project.

Perplexity: Can I use Perplexity offline?

No. Perplexity requires an active internet connection for all searches. The full answer service is not available offline.

Source
Seldon: Do I need Kubernetes?

Yes. It is a Kubernetes-native system and there is no meaningful deployment without a cluster and someone competent to run it.

Perplexity: What platforms does Perplexity support?

Perplexity is available as a web application, iOS app, Android app, and as Comet, a dedicated AI browser for mobile (Android available, iOS in development).

Source
Seldon: What is MLServer?

Seldon's Python inference server implementing the Open Inference Protocol, usable inside Seldon deployments or on its own. Check its current licence alongside Core's, since the company has moved projects onto the Business Source Licence.

Perplexity: How reliable are Perplexity's citations?

Citations are a key feature of Perplexity, but users report that citations sometimes point to irrelevant or overly general articles that don't directly support the claims made.

Source
Seldon: Do I have to run Kafka?

For v2 pipelines, yes. If you only need single models served, that dependency is a large amount of infrastructure for the benefit, and a simpler serving layer may be the better answer.

Perplexity: Does Perplexity's context window match the advertised 1 million tokens?

Perplexity had promoted a 1-million-token context window, but users have reported stealth reductions in the actual context capacity without public announcement.

Source
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