Kimi K3 from Moonshot AI and its faster serving path, Kimi K3 Fast, are now available from US-based providers on AI Gateway, including Baseten and Fireworks. Zero Data Retention (ZDR) is also supported for both models.
As of 8:20 AM PDT, Fireworks is available. Baseten and other providers will be online shortly.
Running Kimi K3 on US-based providers lets teams with data residency and compliance requirements use the model on US infrastructure. Because AI Gateway serves the models from multiple providers, it automatically routes across them for failover, higher uptime, and more available throughput than any single provider offers. You call the same moonshotai/kimi-k3
model ID, and the gateway handles provider selection and fallback.
Kimi K3 Fast trades a higher per-token cost for lower latency. Request it with the speed
option on the base model, which stays on moonshotai/kimi-k3
and falls back to standard speed when the fast tier is unavailable. Alternatively, use moonshotai/kimi-k3-fast
. The fast variant costs ~50% more than the base model.
To use Kimi K3, set model
to moonshotai/kimi-k3
in the AI SDK:
To route Kimi K3 requests to use only US data centers for inference, set inferenceRegion
. Regional pricing is ~10% more than the regular variant.
Zero Data Retention for Kimi K3 is also available. Turn on Zero Data Retention for every request from the AI Gateway dashboard settings, or set it per request with zeroDataRetention
:
To see every provider serving Kimi K3, along with per-provider pricing, supported parameters, uptime, throughput, and latency, call the model endpoints API:
Model prices vary by provider and variant type.
Run vercel ai-gateway coding-agents setup
and select Kimi K3. This will detect the agents on your machine, provision an AI Gateway key, and write their config. See how to set it up via the Vercel CLI.
Try Kimi K3 in the model playground.