Baseten

What is Baseten?

Baseten is a model inference platform for engineering teams that want to run AI models in production without operating their own GPU serving stack. You can call pre-optimized Model APIs that bill per million input and output tokens, with discounted cached input, or deploy your own open-source, fine-tuned or custom models on dedicated compute, packaged with the open-source Truss standard. A training product runs jobs on on-demand GPUs such as L4, A10G, A100, H100 and B200. Deployments autoscale, you only pay while a model is deploying, scaling or predicting rather than for idle time, and usage is visible in a billing dashboard, CLI and REST API. The company states SOC 2 Type II and HIPAA compliance. There are three tiers: Basic is pay-as-you-go, Pro adds monthly invoicing, priority GPUs and higher rate limits, and Enterprise adds custom SLAs, self-hosting and data residency control. New accounts receive credits to experiment for free.

Use cases

• Serve fine-tuned LLMs in production
• Call hosted open models through an API
• Deploy custom models with Truss
• Run training jobs on GPUs
• Self-host inference in your own cloud
• Track token and GPU spend

Who it's for

• ML engineers
• Backend developers
• AI product teams

Why use Baseten

• You skip the work of running GPUs, autoscaling and model serving yourself.
• Billing follows active compute time, so idle replicas are not charged.
• Model APIs let you test open models per token before committing to a dedicated deployment.
• Pro and Enterprise tiers allow negotiated compute discounts and self-hosting for existing cloud commitments.
• Usage can be broken down by API key, user, model or service tier for cost tracking.

Baseten features

• Dedicated deployments for custom and open-source models
• Model APIs billed per million tokens
• Automatic cached-input discount with session affinity routing
• Training on on-demand GPUs
• GPU choices from L4 and A10G to H100 and B200
• Autoscaling with no charge for idle time
• Truss open-source model packaging
• SOC 2 Type II and HIPAA compliance
• Billing dashboard, CLI and REST usage API
• Self-hosting and custom regions on Enterprise

Baseten integrations

• Claude Code
• Codex CLI
• OpenCode

How to get started with Baseten

1. Sign up and use the free credits to explore the dashboard and test deployments.
2. Choose a Model API for quick access or deploy a model from the library or your own with Truss.
3. Select GPUs and autoscaling behavior for a dedicated deployment.
4. Call the endpoint from your app, optionally sending a session ID for better cache reuse.
5. Monitor usage and set a workspace budget from the billing and usage dashboard.

Baseten limitations

• Default Model API limits are 15 RPM and 100,000 TPM for unverified Basic accounts
• Priority GPU access and Slack support require Pro or Enterprise
• Self-hosting and custom SLAs are Enterprise only
• Aimed at engineering teams, not non-technical users

Baseten pricing

Baseten has no free plan.

Baseten plans

• Basic

  Price on vendor site

  Pay-as-you-go, automatic

  • Dedicated deployments
  • Model APIs
  • Training
  • Email and in-app chat support

• Pro

  Price on vendor site

  Monthly invoicing, volume discounts

  • Priority access to high-demand GPUs
  • Dedicated compute
  • Higher Model API rate limits
  • Slack and Zoom support

• Enterprise

  Custom

  Contract

  • Custom SLAs
  • Self-host deployments
  • Data residency control
  • Advanced RBAC with Teams

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Baseten alternatives

The main Baseten alternatives listed on Debuly are Together AI, Fireworks AI, Replicate, Modal, BentoML and DeepInfra. The table compares pricing and platforms; order is A–Z.

1. 

   BentoML

   Open-source model serving library and Bento inference platform for deploying open and custom AI models in the cloud or your own VPC.

   Developer platformsCoding
   Free trialVisit BentoML (official site)
2. 

   DeepInfra

   AI inference cloud with an OpenAI-compatible API for 100+ open models, plus private GPU deployments, GPU rental and hosted agents.

   Developer platformsCodingAutomation and agents
   PaidVisit DeepInfra (official site)
3. 

   Fireworks AI

   Inference and training platform for open models: pay-per-token serverless APIs, GPU deployments, fine-tuning and reserved capacity.

   Developer platformsCodingAutomation and agents
   PaidVisit Fireworks AI (official site)
4. 

   Modal

   Serverless cloud platform for running AI inference, training, batch jobs and agent sandboxes, billed per second of compute.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Modal (official site)
5. 

   Replicate

   Cloud API for running, fine-tuning and deploying open-source and proprietary AI models, billed by compute time or by output.

   Developer platformsImage generationVideo
   PaidVisit Replicate (official site)
6. 

   Together AI

   AI cloud for running open-source models through serverless and batch inference, dedicated endpoints, GPU clusters and fine-tuning.

   Developer platformsCoding
   PaidVisit Together AI (official site)

Baseten FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from baseten.co · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.