AI · head to head
Poe vs Seldon

Poe
AI
Chat platform that gives access to many AI models from one subscription
- From
- Free
- Free plan
- Yes

Seldon
Machine Learning
Kubernetes model serving whose current version is licensed under the Business Source Licence
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: Poe points-based pricing makes cost per message hard to predict across models.; 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: Poe covers Multi-model chat, Seldon covers Kubernetes custom resources.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Poe and Seldon actually diverge.
Identical on both: starting price (Free), pricing model (freemium), 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 Poe
- Multi-model chat
- Custom bots
- Image and video generation
- Points-based usage
- API access for bot creators
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.
Poe
- Comparing responses across multiple AI modelsnot Seldon
- Building and sharing custom prompt-based botsnot Seldon
- Accessing premium models without separate subscriptionsnot Seldon
- Generating images or video from a chat interfacenot Seldon
Seldon
- Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Poe
- Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Poe
- Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Poe
- Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Poe
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Poe
- Points-based pricing makes cost per message hard to predict across models.
- Heavy usage of top-tier models can exhaust points quickly on lower plans.
- No native fine-tuning or persistent long-term memory across bots.
- Custom bots are limited to prompt engineering rather than full agent tooling.
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
Poe
Free- FreeFree
- Limited daily messages across select models
- Starter$4.99/month
- Monthly compute points
- Access to premium models
- Premium$19.99/month
- Larger monthly point allowance
- Priority access to premium models
- Premium Plus$49.99/month
- Higher point allowance for heavy usage
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
Which should you pick?
Choose Poe if
- You need multi-model chat.
- You want to start without paying.
- You work on web, ios, android, windows, mac.
- You also want custom bots.
Choose Seldon if
- You need kubernetes custom resources.
- You want to start without paying.
- You work on Linux.
- You also want inference graphs.
Questions people ask
- Is Poe or Seldon better?
- Neither clearly leads. Poe 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, Poe or Seldon?
- Poe starts at Free and Seldon at Free.
- Does Poe or Seldon run on more platforms?
- Poe runs on web, ios, android, windows, mac. Seldon runs on Linux.
- Can I use Poe for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Poe best used for?
- Poe is most often used for comparing responses across multiple ai models, building and sharing custom prompt-based bots, accessing premium models without separate subscriptions, generating images or video from a chat interface. Of those, comparing responses across multiple ai models and building and sharing custom prompt-based bots are not what Seldon is typically brought in for.
- What can Poe do that Seldon cannot?
- Poe covers Multi-model chat, Custom bots, Image and video generation, Points-based usage. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.
Answered from the vendors’ own pages
Poe: How does Poe's pricing work?
Poe uses a monthly points system: each subscription tier grants a pool of compute points that are spent per message, with the amount depending on which underlying AI model is used.
SourceSeldon: 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.
Poe: Is there a free plan on Poe?
Yes, Poe offers a free tier with limited daily messages across a selection of models before users need a paid subscription for more access.
SourceSeldon: 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.
Poe: What do the paid subscription tiers cost?
Poe offers Starter at $4.99/month, Premium at $19.99/month, and Premium Plus at $49.99/month, each granting a larger monthly pool of compute points.
SourceSeldon: 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.
Poe: What happens if I run out of points?
Once a subscription's monthly point allowance is exhausted, further use of premium models is limited until the points refresh or the user upgrades or purchases more.
SourceSeldon: 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.
Poe: Can developers build on Poe?
Yes, Poe lets creators build and publish custom bots, and developers can connect their own model endpoints as bots via Poe's API.
SourceSeldon: 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.
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