Kimi K3.1 Pro
Designed for complex coding, research and multi-step work across long documents. Its extended context supports tasks that combine substantial source material with sustained analysis.
Provider model ID: kimi-k3.1-pro
Use Moonshot Kimi through FusionPointAI for long-context analysis, multilingual work, coding, and structured automation in production.
USD 111,150
Prices and the checkout quote are shown in USD. Invoice accounting remains in USD.
Monthly and annual billing options are available.
Order NowAn SDK is an integration layer. It does not mean that provider model weights execute inside the client application.
Reference models and educational resources are used under the applicable commercial permissions. Training creates a separate customer model; it does not copy the reference model’s weights. Read the documentation
Compare the models in this service by workload and review their provider documentation.
Designed for complex coding, research and multi-step work across long documents. Its extended context supports tasks that combine substantial source material with sustained analysis.
Provider model ID: kimi-k3.1-pro
The faster K3.1 Pro variant for interactive coding, research and long-context workflows. It is suited to applications that need capable responses with lower waiting times.
Provider model ID: kimi-k3.1-pro-highspeed
Monthly
USD 9,750
Annual
USD 111,150
Save 5% vs. monthly
Availability
Open to new customers
We do not publish a fixed uptime percentage or service credit. Current availability is reported on the live status page.
Customer data is retained for the service term. On termination, data is deleted or returned subject to legal retention requirements.
No fixed hosting-region commitment is published for this product. Data-residency requirements are reviewed before order.
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DPA and GDPR-aligned processing terms are available. Current security and compliance documentation is maintained in the Trust Center.
Use the Moonshot Kimi service available through FusionPointAI.
Review extended documents and conversations while keeping the relevant context available to the application.
Support multilingual drafting, analysis, and structured responses through one production integration.
Evaluate coding assistance and repeatable automation workflows with documented requests and controlled rollout.
Keep service credentials in server-side configuration and out of repositories, browser bundles, and logs.
Confirm the published model identifier and technical limits before a live workload depends on it.
Use staged traffic, request monitoring, and rollback procedures when changing prompts or model routing.
Moonshot Kimi is a practical option for teams that need long-context and multilingual workflows with a predictable service price and a documented integration path.
Teams processing substantial documents can validate context handling before production rollout.
Product and support workflows can evaluate multilingual generation and structured responses in one service.
Engineering teams can connect controlled Moonshot Kimi workflows to internal tools and scheduled operations.
Read the API documentationA very small experiment, a provider-specific feature, or a workload with strict model requirements may be better served by another published service.
Treat model identifiers, credentials, context limits, and response handling as explicit integration inputs rather than assuming provider defaults.
Record language, context, output, latency, and safety requirements.
Use the FusionPointAI documentation and issued credentials for the supported service path.
Test representative requests, failures, retries, observability, and cost expectations.
Match document size, language, reasoning, and output requirements to the Moonshot Kimi service before ordering.
Use FusionPointAI credentials and the documented endpoint rather than placing secrets in client-side code.
Test prompts, errors, latency, and output quality before moving production traffic.
The service provides access to Moonshot Kimi through FusionPointAI, subject to the documented technical limits and service terms.
The applicable amount is shown for review before you confirm checkout.
Long-context analysis is a supported use case, but you should validate the published model limits and representative documents before production use.
Use issued credentials, test representative traffic, monitor responses, and move traffic gradually after the integration is validated.
Yes. Both options are available; the applicable amount is shown before checkout.
Compare the plan options, review the integration guidance, and contact our team for rollout support.