Last updated 08-21-2026
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Baseten
Baseten lets teams deploy and run machine learning models in production without building their own serving stack. The ML inference platform handles open-source, custom, and fine-tuned models on infrastructure tuned for low latency, cross-cloud availability, and massive scale. Products span dedicated deployments, pre-optimized Model APIs, training with the Loops SDK, and Baseten for Model Labs to distribute proprietary models.
Where generic GPU rental gives you raw compute, Baseten ships custom kernels, advanced decoding, and caching as part of the Baseten Inference Stack. That trade-off favors teams that need sub-300ms transcription or 2x embedding throughput without hiring a serving infrastructure team, though Pro and Enterprise tiers still require a sales conversation.
Customers including Cursor, Notion, Writer, and OpenEvidence run LLM, transcription, embedding, image generation, text-to-speech, and compound AI workloads on the platform. Founded in 2019, Baseten pairs post-training research, kernel-level optimization, and forward deployed engineers with the serving layer so teams can move from prototype to production traffic without stitching together separate tools.
ML engineers, platform teams, and AI product companies use Baseten when they need production inference with observability, SOC 2 Type II and HIPAA compliance, and flexible deployment options without building serving infrastructure from scratch.
OpenAI-compatible Model APIs for Kimi K3, DeepSeek-V4-Flash, and GLM-5.2 Fast
Cross-cloud autoscaling with 99.99% uptime out of the box
Run on Baseten Cloud, self-hosted VPCs, or hybrid flex capacity
Pay only for active compute time, not idle deployment minutes
Baseten Chains cuts compound AI latency in half with granular autoscaling
Package any model with Truss, Baseten's open-source serving standard
Basic tier starts at $0 per month with pay-as-you-go compute on Baseten Cloud.
OpenAI-compatible Model APIs make swapping from closed LLM providers straightforward.
Deployment options span managed cloud, self-hosted VPC, and hybrid flex capacity.
SOC 2 Type II and HIPAA compliance with single-tenant dedicated deployments.
Forward deployed engineers help tune latency, throughput, and cost under real traffic.
Pro and Enterprise pricing require contacting sales rather than self-serve checkout.
Per-minute GPU rates add complexity compared with flat subscription pricing.
Self-hosted and hybrid setups need engineering coordination with Baseten sales.
Does Baseten have a free plan?
Yes. Baseten's Basic plan is $0 per month on Baseten Cloud with pay-as-you-go compute. New accounts also receive free credits to explore the UI and experiment with deployments, according to the pricing FAQ.
Which models can I run on Baseten?
Baseten supports open-source and custom models. You can start from the model library or deploy any model packaged with Truss, Baseten's open-source standard for serving models built in any framework.
Is Baseten OpenAI compatible?
Yes. Baseten Model APIs are fully OpenAI compatible, including function calling support. The Model APIs product page says you can migrate from closed models by swapping a URL.
Do I pay for idle time on Baseten?
No. Baseten charges only when your model is actively using compute, including deployment, scaling, or making predictions. You control autoscaling behavior through the platform, per the pricing FAQ.
Is Baseten secure and compliant?
Yes. Baseten is SOC 2 Type II certified and HIPAA compliant. Dedicated deployments are single-tenant, can be region-locked, and the platform never stores Model API inference inputs or outputs.
Can I deploy Baseten on my own infrastructure?
Yes. Baseten offers self-hosted deployments in your VPC and hybrid options that combine your infrastructure with on-demand flex capacity on Baseten Cloud. Enterprise plans add custom SLAs and data residency controls.