Google models
Provisioned Throughput only supports models that you call directly
from your project using the specific model ID and not a model alias. To use
Provisioned Throughput to make API calls to a model, you must use the
specific model version ID (for example, gemini-2.0-flash-001) and not a
model version alias.
Moreover, Provisioned Throughput doesn't support models that are called by by other Vertex AI products, such as Vertex AI Agents and Vertex AI Search. For example, if you make API calls to Gemini 2.0 Flash while using Vertex AI Search, your Provisioned Throughput order for Gemini 2.0 Flash won't guarantee the calls made by Vertex AI Search.
The following table shows the throughput, purchase increment, and burndown rates for Google models that support Provisioned Throughput. Your per-second throughput is defined as your prompt input and generated output across all requests per second.
To find out how many tokens your workload requires, refer to the SDK tokenizer or the countTokens API.
| Model | Per-second throughput per GSU | Units | Minimum GSU purchase increment | Burndown rates |
|---|---|---|---|---|
| Gemini 2.5 Pro | 540 | Tokens | 1 |
Less than or equal to 200,000 input tokens: 1 input text token = 1 token 1 input image token = 1 token 1 input video token = 1 token 1 input audio token = 1 token 1 output response text token = 8 tokens 1 output reasoning text token = 8 tokens Greater than 200,000 input tokens: 1 input text token = 2 tokens 1 input image token = 2 tokens 1 input video token = 2 tokens 1 input audio token = 2 tokens 1 output response text token = 12 tokens 1 output reasoning text token = 12 tokens |
| Gemini 2.5 Flash | 4480 | Tokens | 1 |
1 input text token = 1 token 1 input image token = 1 token 1 input video token = 1 token 1 input audio token = 7 tokens 1 output response text token = 4 tokens 1 output thinking response text token = 24 tokens 1 output reasoning text token = 24 tokens |
| Gemini 2.0 Flash | 3360 | Tokens | 1 |
1 input text token = 1 token 1 input image token = 1 token 1 input video token = 1 token 1 input audio token = 7 tokens 1 output text token = 4 tokens |
| Gemini 2.0 Flash-Lite | 6720 | Tokens | 1 |
1 input text token = 1 token 1 input image token = 1 token 1 input video token = 1 token 1 input audio token = 1 token 1 output text token = 4 tokens |
| Imagen 3 | 0.025 | Images | 1 | Only output images count toward your Provisioned Throughput quota. |
| Imagen 3 Fast | 0.05 | Images | 1 | Only output images count toward your Provisioned Throughput quota. |
| Imagen 2 | 0.05 | Images | 1 | Only output images count toward your Provisioned Throughput quota. |
| Imagen 2 Edit | 0.05 | Images | 1 | Only output images count toward your Provisioned Throughput quota. |
| MedLM medium | 2,000 | Characters | 1 | 1 input char = 1 char 1 output char = 2 chars |
| MedLM large | 200 | Characters | 1 | 1 input char = 1 char 1 output char = 3 chars |
| MedLM large 1.5 | 200 | Characters | 1 | 1 input char = 1 char 1 output char = 3 chars |
For more information about supported locations, see Available locations.
You can upgrade to new models as they are made available. For information about model availability and discontinuation dates, see Google models.
Supervised fine-tuned model support
The following is supported for Google models that support supervised fine-tuning:
Provisioned Throughput can be applied to both base models and supervised fine-tuned versions of those base models.
Supervised fine-tuned model endpoints and their corresponding base model count towards the same Provisioned Throughput quota.
For example, Provisioned Throughput purchased for
gemini-2.0-flash-lite-001for a specific project prioritizes requests that are made from supervised fine-tuned versions ofgemini-2.0-flash-lite-001created within that project. Use the appropriate header to control traffic behavior.
Partner models
The following table shows the throughput, purchase increment, and burndown rates for partner models that support Provisioned Throughput. Claude models are measured in tokens per second, which is defined as a total of input and output tokens across all requests per second.
| Model | Throughput per GSU (tokens/sec) | Minimum GSU purchase | GSU purchase increment | Burndown rates |
|---|---|---|---|---|
| Anthropic's Claude 3.7 Sonnet | 350 | 25 | 1 | 1 input token = 1 token 1 output token = 5 tokens 1 cache write token = 1.25 tokens 1 cache hit token = 0.1 token |
| Anthropic's Claude 3.5 Sonnet v2 | 350 | 25 | 1 | 1 input token = 1 token 1 output token = 5 tokens 1 cache write token = 1.25 tokens 1 cache hit token = 0.1 token |
| Anthropic's Claude 3.5 Haiku | 2,000 | 10 | 1 | 1 input token = 1 token 1 output token = 5 tokens 1 cache write token = 1.25 tokens 1 cache hit token = 0.1 token |
| Anthropic's Claude 3 Opus | 70 | 35 | 1 | 1 input token = 1 token 1 output token = 5 tokens 1 cache write token = 1.25 tokens 1 cache hit token = 0.1 token |
| Anthropic's Claude 3 Haiku | 4,200 | 5 | 1 | 1 input token = 1 token 1 output token = 5 tokens 1 cache write token = 1.25 tokens 1 cache hit token = 0.1 token |
| Anthropic's Claude 3.5 Sonnet | 350 | 25 | 1 | 1 input token = 1 token 1 output token = 5 tokens 1 cache write token = 1.25 tokens 1 cache hit token = 0.1 token |
For information about supported locations, see Anthropic Claude region availability. To order Provisioned Throughput for Anthropic models, contact your Google Cloud account representative.