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Head to head · 2026

Baseten vs Konduit

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Baseten

Model deployment infrastructure that lets teams ship custom AI models to production without managing GPUs

4.1Free

Visit Baseten (opens Baseten in a new tab)

Konduit

Run PyTorch, TensorFlow, Keras and ONNX models wherever you need them - cloud, on-premise, edge or…

3.7Not listed

Visit Konduit (opens Konduit in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: Baseten does not list a price

  • Free plan

    Baseten

    Only Baseten has one

  • Higher rating

    Baseten

    4.1 against 3.7

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onBasetenKonduit
Our rating4.1Better3.7
Starts atFreeNot listed
Free planYesBetterNo
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansFreeSee pricing
Key features
  • Managed infrastructure for deploying custom and fine-tuned ML models to production
  • Model-agnostic: supports open-weight models, custom models, and multi-model pipelines
  • Automatic GPU provisioning and autoscaling handled by the platform
  • Free trial credit for new accounts before usage-based billing begins
  • Backed by Y Combinator with a developer-first deployment workflow
  • Model deployment across cloud, on-premise, edge and mobile
  • Framework support: PyTorch, TensorFlow, Keras, ONNX
  • Konduit Serving for model-serving infrastructure
  • Kompile for model compilation
  • Built on the open-source Eclipse Deeplearning4j ecosystem
Pros
  • Removes the need to hire a dedicated ML infrastructure team for model serving
  • Model-agnostic design avoids lock-in to one specific model provider
  • Free trial credit lets teams test real production workloads before committing
  • Framework-agnostic - not locked to whatever one training framework a team uses
  • Built on an open ecosystem, not a purely proprietary black box
  • Covers deployment targets from cloud down to edge and mobile
Cons
  • Usage-based compute pricing requires monitoring at high-traffic production volumes
  • Best suited for teams already running custom or fine-tuned models, not off-the-shelf API use
  • Competes with both hyperscaler managed-inference options and other MLOps platforms
  • Hybrid consulting model means full value likely requires a real services engagement
  • No self-serve pricing - expect a direct conversation
  • Best suited to teams with real production ML deployment needs, not experimentation
CompanyBaseten, founded 2019Konduit

Prices come from each vendor's pricing page, last checked 20260824. Check the vendor before you buy.

FAQ

Questions people ask

Is Baseten better than Konduit?

In our reviews Baseten scores 4.1 and Konduit scores 3.7. The better pick depends on the job. Baseten: Model deployment infrastructure that lets teams ship custom AI models to production without managing GPUs. Konduit: Run PyTorch, TensorFlow, Keras and ONNX models wherever you need them - cloud, on-premise, edge or mobile - backed by the Eclipse Deeplearning4j ecosystem.

Which is cheaper, Baseten or Konduit?

Baseten: free. Konduit: see pricing.

Do Baseten and Konduit have free plans?

Only Baseten has a free plan.

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