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Production inference cloud
Best for ML teams who will call one inference URL and pay per token or per GPU-minute
Verified 22 Oct 2026 · Asia/Shanghai
Pricing. Kimi K3 — $3.00 input / $0.30 cache-input / $15.00 output per 1M on the table we copied (cover).
Decide
Full notes belowBaseten is a production inference cloud: call a hosted model through an OpenAI-shaped API, or deploy your own checkpoint on a dedicated GPU that scales to zero. Use it when the job is serve the model, not when you need an SSH Pod.
It is not fully closed. Truss packages the model. Hosted inference is paid. New accounts include trial credits. Dedicated H100 is $0.10833/min (~$6.50/hr).
What makes it unique: the cover is Baseten’s official Model APIs price table — GLM / DeepSeek / Kimi K3 $3.00 / $0.30 / $15.00 per 1M plus Try Model API.
Best fit: ML teams who will call one inference URL and pay per token or per GPU-minute.
Poor fit: researchers who want a cheap SSH box for a weekend (Runpod).
Verified 2026-10-22 (Asia/Shanghai) from baseten.co/pricing. Plan names (Basic / Pro / Enterprise) gate support and rate limits; dollars are usage. Re-check the model row.
Plan cards — Basic includes dedicated deployments, Model APIs, training, SOC 2 Type II + HIPAA, email / in-app chat. Pro adds priority GPUs, higher API limits, Slack / Zoom. Enterprise: custom SLAs, self-host, flex compute. New accounts get free credits (FAQ).
Model API examples (per 1M tokens, input / cache / output)
Dedicated compute (per minute)
You pay while a replica is deploying, scaling, or serving — not while it is scaled to zero.
We searched the official Baseten channel for a current getting-started / product-UI walkthrough. Recent uploads are briefings and partner talks, not a first-party “open the console” tutorial, so nothing is embedded. Use the written Quickstart plus Pricing.
https://github.com/basetenlabs/truss
Catalog row curated for AI Tools Nav. Cover is Baseten’s official Model APIs price table. H100 $0.10833/min. Kimi K3 $3.00 / $0.30 / $15.00 per 1M. Official channel: @baseten (no getting-started embed).
2026-10-22 (Asia/Shanghai) editorial check.