A TPM reservation locks dedicated inference capacity for a specified model, ensuring that your services are not affected by public rate limits during peak business hours. This topic describes how to create, integrate, and manage TPM reservations.
Overview
With a TPM (Tokens Per Minute) reservation, you can lock dedicated inference throughput for a specified model. Calls within the reserved capacity are not subject to the rate limits of the public resource pool.
- Capacity guarantee: The reserved TPM capacity is dedicated to your workload and is not shared with other users.
- Dedicated model code: After you create a TPM reservation, the system automatically generates a dedicated model code. You must replace the
modelparameter in your API requests with this code. - Overflow strategy: When creating a reservation, you can choose how to handle excess traffic — automatically overflow to pay-as-you-go (default, no service interruption) or use reserved capacity only (excess requests return 429, no additional charges incurred).
Compare and select a plan
Model Studio offers multiple capacity and billing plans for inference calls, including pay-as-you-go, resource plans and savings plans, TPM reservations, and PTU dedicated deployments. Each plan has different characteristics regarding billing unit, capacity guarantee level, overflow handling, and integration changes. This section helps you choose the appropriate plan based on your business needs.
Plan | Billing unit | Capacity guarantee | Use cases | Overflow handling | Code changes |
|---|---|---|---|---|---|
Pay-as-you-go | Per token | None (shared public pool) | Highly variable/short-term traffic | Served automatically, subject to public rate limits | No changes required |
Resource plan/Savings plan | Prepaid quota | Committed-use discount (not dedicated capacity) | Cost optimization | Excess traffic switches to pay-as-you-go | No changes required |
TPM reservation | Prepaid per kTPM | Dedicated capacity with a firm guarantee | Predictable traffic, no tolerance for rate limiting | Optional: auto-overflow to pay-as-you-go (default) / reserved-capacity-only returns 429 | Replace the model parameter |
PTU (Model deployment) | Prepaid per kTPM | Dedicated deployment instance | High throughput and high performance | Optional: auto-overflow to pay-as-you-go (default) / PTU-capacity-only returns 429 | Replace the model parameter |
Supported models
Prices are subject to the console; the tables are for reference only.
- China (Beijing)
- Singapore
Model name | Prepaid - daily | |
|---|---|---|
Input (per 10,000 TPM) | Output (per 1,000 TPM) | |
Qwen3.8-Max | $16.63 | $4.99 |
Qwen3.7-Flash-2026-07-15 Contact your account manager to activate | $0.28 | $0.11 |
Qwen3.7-Max-2026-05-20 | $16.63 | $4.99 |
Qwen3.7-Plus-2026-05-26 | $2.77 | $1.11 |
Qwen3.6-Flash-2026-04-16 | $1.66 | $1.00 |
GLM-5.2 | $11.09 | $3.88 |
GLM-5.1 | $8.32 | $3.33 |
DeepSeek-v4-Pro-0813 | $12.82 | $3.85 |
DeepSeek-v4-Flash | $1.39 | $0.28 |
DeepSeek-v4-Pro | $16.63 | $3.33 |
DeepSeek-v4-Flash-0731 | $4.27 | $1.28 |
Kimi-K2.6 | $9.01 | $3.74 |
Billing and usage notes
- Billing starts once deployment succeeds. Calls within the reserved capacity incur no additional charges.
- Prepaid fees are paid in a one-off upfront payment and remain in effect from the moment of purchase. Refer to the Bailian console for the actual charges.
- The "daily" billing cycle is calculated by natural day: from the moment the instance takes effect until 00:00:00 the next day, rather than a continuous 24 hours from the purchase time. For example, a 1-day reservation purchased at 16:00 expires at 00:00 (effective for about 8 hours). We recommend purchasing at the start of a day, or enabling Auto-renewal on expiry to avoid service interruption.
-
Downgrade and unsubscribe refund: the used portion is settled at a 1.2x coefficient. Formula:
Refund = prepaid fee of the reduced portion - (prepaid fee of the reduced portion × used duration / purchased duration × 1.2) - When the overflow policy is "Auto overflow": requests exceeding the guaranteed quota automatically degrade to standard pay-as-you-go billing without service interruption. You can view the degradation count on the detail page at Overflow degradation statistics. When set to "Reserved capacity only": requests exceeding the quota return 429 and incur no additional charges.
- Within 2 hours after the service expires: the instance is still running, can be called, and can be renewed; 2 to 14 hours after expiry: the instance is stopped, cannot be called, but can still be renewed; 14 hours after expiry: the instance is deleted and cannot be recovered.
Click here to view capacity conversion parameters for each model
Click here to view capacity conversion parameters for each model
Model | Max input length | Cache discount | Long-input tier coefficient |
|---|---|---|---|
Qwen3.8-max | 1 Million | 0.125 | No tiers (1.0) |
Qwen3.6-flash-2026-04-16 | 256K | Cache not supported | No tiers (1.0) |
Other Qwen series | 256K | 0.2 (cache hits consume capacity at 20% of the normal rate) | No tiers (1.0) |
glm-5.2 | 1 Million | 0.25 (cache hits consume capacity at 25% of the normal rate) | No tiers (1.0) |
glm-5.1 | 200K | 0.2 (cache hits consume capacity at 20% of the normal rate) | [0, 32K): input 1.0 / output 1.0 |
DeepSeek-v4-Pro-0813 | 1 Million | 0.1 (cache hits consume capacity at 10% of the normal rate) | No tiers (1.0) |
DeepSeek-v4-Pro | 256K | 0.08 (cache hits consume capacity at 8% of the normal rate) | No tiers (1.0) |
DeepSeek-v4-Flash-0731 | 1 Million | 0.1 (cache hits consume capacity at 10% of the normal rate) | No tiers (1.0) |
DeepSeek-v4-Flash | 256K | 0.2 (cache hits consume capacity at 20% of the normal rate) | No tiers (1.0) |
Kimi-K2.6 | 256K | 0.2 (cache hits consume capacity at 20% of the normal rate) | No tiers (1.0) |
Create a TPM reservation
Prerequisites: Bailian model service is activated and a workspace has been created. Sign in to the Bailian console and click Create TPM reservation.

-
Fill in the following parameters:
Parameter
Description
Required
Value description
Reservation name
Custom name for identification.
Yes
≤ 50 characters
Select model
Select the model for which to reserve capacity. A dedicated model code is generated automatically upon submission.
Yes
Only models that support TPM reservation are available; refer to the console display.
Billing cycle
Billing cycle.
Yes
Daily
Input TPM
Reserved input throughput, in kTPM (1 kTPM = 1,000 tokens/minute).
Yes
The starting value and step vary by model; refer to the console display.
Output TPM
Reserved output throughput, in kTPM.
Yes
The starting value and step vary by model; refer to the console display.
Purchase duration
Valid duration of the reservation.
Yes
Enter the number of days in the input box. Supported values: 1-30, 60, 90, 120, 365 days.
Auto-renewal on expiry
Automatically deducts payment and renews at 08:00 one day before expiry. Enabled by default.
No
On / Off
Single renewal duration
Duration of each automatic renewal.
No
Enter the number of days in the input box. The value range is the same as the purchase duration.
Overflow policy
How requests exceeding the reserved capacity are handled when it is exhausted.
Yes
Auto overflow to per-token pay-as-you-go (default; overflow switches to pay-as-you-go, no service interruption) / Reserved capacity only (overflow returns 429, no additional charges)
- After confirming the parameters, click Buy now. In the fee confirmation dialog, verify the charges and click Confirm payment.
- On the Overview tab of the TPM reservation detail page, find the Dedicated model code and click copy.
-
Replace the
modelparameter in your API request with the copied dedicated model code:Prerequisite: a TPM reservation instance has been created and its status is Running.
Thethinking_budgetparameter of GLM-5.2 (which limits thinking length) does not take effect when called.
TPM capacity calculator
The TPM capacity calculator on the right side of the creation page helps you estimate the TPM quota to purchase based on your business load. After you fill in the following parameters, the calculator automatically outputs the recommended input TPM and output TPM.
Parameter | Description | Impact on result |
|---|---|---|
Requests per minute (RPM) | Number of requests sent per minute during peak business hours. | The larger the RPM, the larger the recommended input and output TPM in proportion. |
Average input length (tokens) | Average number of input tokens per request. | The longer the input, the higher the tier and the larger the coefficient, so the higher the recommended input TPM. Tier boundaries differ by model; refer to the actual console display. |
Average output length (tokens) | Average number of output tokens per request. | The longer the output, the larger the coefficient may be, so the higher the recommended output TPM. |
Cache hit rate | The proportion of requests whose repeated prefixes are cache hits. The actual hit rate depends on the repetition of request content; refer to the runtime result. | The higher the hit rate, the slower the input capacity is consumed, so the lower the recommended input TPM. Affects only input TPM, not output TPM. |

View and manage
Go to the Bailian console and open the reservation list page. The list displays all reservation instances as model cards and supports filtering by model, time, and status.

Reservation details
Click a target model card to open the detail page, which contains the following 3 tabs:
- Overview
- Monitoring
- API access

- Basic information: reservation name, dedicated model code (copyable), base model, input/output capacity.
- Statistics cards (last 7 days): active reservation count, total and peak TPM usage, average utilization.
- Utilization trend: switch between input/output directions; shows the reserved capacity line and actual usage.
- Overflow degradation statistics: shows the number of requests degraded after exceeding the reserved capacity (degradation occurs only under the "Auto overflow" policy).
Management operations
In the reservation list on the Overview tab of the detail page, find the target instance and use the Operation column to perform the following:
- Scaling
- Renewal
- Unsubscribe

Reservation instance status
Reservation instance status
Status | Description |
|---|---|
Running | Running normally; can be called using the dedicated model code. |
Pending | Created; waiting to take effect. |
Modifying | Scaling in progress; service is not interrupted during this period. |
Stopped | Stopped due to reasons such as overdue payment; can be restored after renewal. |
Expired | Expired without renewal; resources have been released. |
Canceled | Unsubscription completed; irreversible. |
FAQ
Q: What happens when the reserved capacity is exceeded?
Q: What happens when the reserved capacity is exceeded?
Q: How do I obtain the dedicated model code?
Q: How do I obtain the dedicated model code?
model parameter in your API request with this code to use the reserved capacity.Q: What happens when a reservation expires?
Q: What happens when a reservation expires?
Q: How do I determine whether to scale up?
Q: How do I determine whether to scale up?
Q: How long is a "1-day" reservation actually valid?
Q: How long is a "1-day" reservation actually valid?

