This Pro plan focuses on credit billing, plus free viewer seats, self-service enterprise features, and default cost controls, covering AI workloads on both the API and application sides. The goal is to enable teams to iterate AI products to production faster while ensuring compliance and controllable costs.
1. Four key upgrades for the Pro plan
1. Credit-based uses the model
The Pro plan uses Credits to uniformly metering AI workloads, which can be mapped to tokens, number of calls, embedded writes, reads, or GPU minutes. This makes costs more predictable across models and across regions, allowing for horizontal comparisons and budget estimates.
2. Free Viewer Seats
Separateread-only collaboration from "pay per seat", the Pro plan allows unlimited or quota free viewers, and R&D, operations, and legal affairs can directly view AI running panels and logs, no longer occupying paid seats.
3. The Self-serve Enterprise
Pro plan supports SSO, organizational and project-level RBAC, audit logs, data residency, and key rotation, allowing administrators to complete the switching and configuration of mainstream enterprise capabilities without going through a lengthy process.
4. Default Spend Management (Spend Management
) Built-in budget, threshold alarm, hard limit and automatic downgrade policy; Label and allocate costs by team, environment, and project, and provide reconciliation invoices and exports, facilitating FinOps and financial closure.
2. Implementation checklist that can be implemented immediately
1. Metering and package design
(1) Define the conversion of credits and tokens, calls, storage, and GPU minutes
(2). Set tiered price tiers and overage rates to take into account both novice and heavy users
(3) Separate online inference and batch processing to avoid "one-size-fits-all" billing
2. Manage quotas and throttling
(1) Set QPS/QPD quotas by tenant, project, and environment
(2) Enable rate limiting and fallback policies to protect core AI APIs
(3) Set special thresholds for long contexts and large file uploads
3. Settlement and reconciliation experience
(1) Support prepaid credits and automatic renewals, and overdue payments go to read-only or throttled
(2) Export daily billing snapshots and monthly invoices for easy financial reconciliation
(3) Transparently display credit costs for a single request to reduce customer service disputes
4. Compliance and security baseline
(1) Enable organization-level SSO Alignment with least-privilege RBAC
(2) Retention of audit logs and model call chain of evidence
(3) Alignment
3. Selection and comparison judgment
1. Comparison with pure seat system
Seat systems are easy to manage but difficult to cover fluctuating AI workloads; The credit of the Pro plan is more in line with the peak and valley of calls and the intensity of the experiment, and the overall unit cost is more controllable.
2. Comparison with pure usage billing
Pure usage billing is transparent but difficult to achieve a budget ceiling; The Pro plan introduces budget hard caps and automatic downgrades to preserve flexibility and avoid loss of control.
3. Suggestions for adapting to AI scenarios
Mix "developer paid seats + free Viewer + Credit shared pool" within the team, stable debugging of the Pro plan for R&D, cross-functional collaboration on the Viewer side, and credit for peak inference and batch tasks.
Frequently Asked Questions (Q&A)
Q: What are the benefits of credit-based for AI workloads?
A: Credit allows the cost of different models and regions to be comparable, making it easy to budget, AB experiment and cost traceback, and the Pro plan can also set hard limits and alarms for excess to reduce the risk of loss of control.
Q: What is the difference between a free viewer and a read-only API key?
A: Viewer for people to view dashboards, logs, and reports; Read-only keys are geared towards system integration. The Pro plan separates the two to improve collaboration efficiency without crowding out paid seats.
Q: What are the key capabilities included in the self-service enterprise feature?
A: Typical examples include SSO, RBAC, audit logs, key rotation, data residency, and compliance export. The Pro plan emphasizes "out-of-the-box configuration" to reduce ticket waiting and integration costs.
Q: How do I implement the default cost control?
A: Enable budgets and thresholds, set excess hard quotas and automatic downgrades; Label the project and environment for cost allocation, and display credit consumption for each AI API call in the bill, forming a traceable closed loop.
