Managed inference API
Baseten
Hosted Model APIs for supported models plus managed dedicated deployments for custom/open/fine-tuned weights, hardware selection and autoscaling.
Product facts checked October 2, 2026Editorial scores last reviewed September 3, 2026
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Best for
ML teams shipping bespoke models who want managed serving without building the ops stack
Watch out
Dedicated billing includes image-builder workloads, cold starts/model loading and idle warm replicas. Monthly budgets notify by default; optional enforcement stops Model API requests only, while dedicated and training workloads continue accruing charges.
| Billing | Model APIs: model-specific token/tool pricing. Dedicated deployments, image builders and training: instance minutes while the workload is running. |
|---|---|
| GPU choice | Select hardware per deployment |
| Cold start | Dedicated endpoints can scale to zero; requests may wait for a replica to load. Keep capacity warm or accept cold-start latency; verify request parking/timeout behavior for the selected endpoint. |
| Model access | Choose a supported hosted Model API or deploy custom weights/Truss model to a dedicated endpoint; hosted API catalog is not an unlimited arbitrary-model gallery. |
Sources for the dated product and announcement claims
- Workload lifecycle billing and budget scope — source checked October 2, 2026
- baseten official product and billing documentation — source checked October 2, 2026
- baseten official product and billing documentation — source checked October 2, 2026
- baseten official product and billing documentation — source checked October 2, 2026
- baseten official product and billing documentation — source checked October 2, 2026
- baseten official product and billing documentation — source checked October 2, 2026
Fit detail
When Baseten is the right shortlist — and when it is not
Use these lists to kill bad comparisons early, before you compare logos.
Ideal for
- Custom model deployments with production autoscaling
- ML teams between DIY Kubernetes and a closed API
- Truss-based serving with tracing and hardware tiers
Usually not ideal for
- A broad public model gallery without deploying models outside the supported Model API catalog
- Absolute lowest marketplace GPU bids
- Non-ML teams with no deployment ownership
Spend & ops
How cost behaves — and what breaks first
No invented $/hour quotes. These notes explain the failure modes that show up on the first real invoice.
Cost mental model
Model APIs meter their model/token/tool units. Dedicated workloads meter running instance minutes, including image builds, model load, serving and warm idle time; partial minutes round up. Failed boots that never come up and image pulls are unbilled. Development watch deployments have a documented billing exception.
Ops notes
- Account for image builds and model-loading time as well as serving and idle replicas. Image pulls and replicas that never start are not billed; failed builds inside a running builder are billed until failure.
- Set replica minimums and request-parking timeouts from measured startup behavior; scaled-to-zero/no-traffic deployments have no compute charge.
- Budget enforcement applies only to Model APIs. Dedicated deployments and training keep running and billing after the budget is reached.
Fit scores
Baseten on the decision axes
Same editorial scale as the hub chart — useful for shortlists, not as a price quote.
Baseten
- GPU choice6/10
- Time-to-serving (editorial)7/10
- Price clarity5/10
- Production ops9/10
- Open-model breadth7/10
Among all 16 providers
GPU choice
Pick exact GPUs
Time-to-serving (editorial)
Warm-path fit
Price clarity
Easy to forecast
Production ops
Less DIY ops
Open-model breadth
Catalog depth
Scores are editorial planning ratings (1–10) for product shape — not published $/hour quotes or vendor SLAs. Verify current pricing on each provider site.
Compare
Baseten vs alternatives
Open a head-to-head when you are deciding between product shapes.
Related
Keep the decision attached to the rest of the stack
Cloud rental is one path. Local VRAM and open-weight fit still matter.