Amazon Bedrock model IDs
Many Amazon Bedrock API operations require the use of a model ID. Refer to the following table to determine where to find the model ID that you need to use.
| Use case | How to find the model ID |
|---|---|
| Use a base model | Look up the ID in the base model IDs chart |
| Purchase Provisioned Throughput for a base model | Look up the ID in the model IDs for Provisioned Throughput chart and use it as the modelId in the CreateProvisionedModelThroughput request. |
| Purchase Provisioned Throughput for a custom model | Use the name of the custom model or its ARN as the modelId in the CreateProvisionedModelThroughput request. |
| Use a provisioned model | After you create a Provisioned Throughput, it returns a provisionedModelArn. This ARN is the model ID. |
| Use a custom model | Purchase Provisioned Throughput for the custom model and use the returned provisionedModelArn as the model ID. |
Topics
Amazon Bedrock base model IDs (on-demand throughput)
The following is a list of model IDs for the currently available base models. You use a model ID through the API to identify the base model that you want to use with on-demand throughput, such as in a InvokeModel request, or that you want to customize, such as in a CreateModelCustomizationJob request.
Note
You should regularly check the Model lifecycle page for information about model deprecation and update model IDs as necessary. Once a model has reached end-of-life, the model ID no longer works.
| Provider | Model name | Version | Model ID |
|---|---|---|---|
| AI21 | Jamba-Instruct | 1.x | ai21.jamba-instruct-v1:0 |
| Amazon | Titan Text G1 - Express | 1.x | amazon.titan-text-express-v1 |
| Amazon | Titan Text G1 - Lite | 1.x | amazon.titan-text-lite-v1 |
| Amazon | Titan Text Premier | 1.x | amazon.titan-text-premier-v1:0 |
| Amazon | Titan Embeddings G1 - Text | 1.x | amazon.titan-embed-text-v1 |
| Amazon | Titan Embedding Text v2 | 1.x | amazon.titan-embed-text-v2:0 |
| Amazon | Titan Multimodal Embeddings G1 | 1.x | amazon.titan-embed-image-v1 |
| Amazon | Titan Image Generator G1 | 1.x | amazon.titan-image-generator-v1 |
| Anthropic | Claude | 2.0 | anthropic.claude-v2 |
| Anthropic | Claude | 2.1 | anthropic.claude-v2:1 |
| Anthropic | Claude 3 Sonnet | 1.0 | anthropic.claude-3-sonnet-20240229-v1:0 |
| Anthropic | Claude 3.5 Sonnet | 1.0 | anthropic.claude-3-5-sonnet-20240620-v1:0 |
| Anthropic | Claude 3 Haiku | 1.0 | anthropic.claude-3-haiku-20240307-v1:0 |
| Anthropic | Claude 3 Opus | 1.0 | anthropic.claude-3-opus-20240229-v1:0 |
| Anthropic | Claude Instant | 1.x | anthropic.claude-instant-v1 |
| AI21 Labs | Jurassic-2 Mid | 1.x | ai21.j2-mid-v1 |
| AI21 Labs | Jurassic-2 Ultra | 1.x | ai21.j2-ultra-v1 |
| Cohere | Command | 14.x | cohere.command-text-v14 |
| Cohere | Command Light | 15.x | cohere.command-light-text-v14 |
| Cohere | Command R | 1.x | cohere.command-r-v1:0 |
| Cohere | Command R+ | 1.x | cohere.command-r-plus-v1:0 |
| Cohere | Embed English | 3.x | cohere.embed-english-v3 |
| Cohere | Embed Multilingual | 3.x | cohere.embed-multilingual-v3 |
| Meta | Llama 2 Chat 13B | 1.x | meta.llama2-13b-chat-v1 |
| Meta | Llama 2 Chat 70B | 1.x | meta.llama2-70b-chat-v1 |
| Meta | Llama 3 8b Instruct | 1.x | meta.llama3-8b-instruct-v1:0 |
| Meta | Llama 3 70b Instruct | 1.x | meta.llama3-70b-instruct-v1:0 |
| Mistral AI | Mistral 7B Instruct | 0.x | mistral.mistral-7b-instruct-v0:2 |
| Mistral AI | Mixtral 8X7B Instruct | 0.x | mistral.mixtral-8x7b-instruct-v0:1 |
| Mistral AI | Mistral Large | 1.x | mistral.mistral-large-2402-v1:0 |
| Mistral AI | Mistral Small | 1.x | mistral.mistral-small-2402-v1:0 |
| Stability AI | Stable Diffusion XL | 0.x | stability.stable-diffusion-xl-v0 |
| Stability AI | Stable Diffusion XL | 1.x | stability.stable-diffusion-xl-v1 |
Amazon Bedrock base model IDs for purchasing Provisioned Throughput
To purchase Provisioned Throughput through the API, use the corresponding model ID when provisioning the model with a CreateProvisionedModelThroughput request. Provisioned Throughput is available for the following models:
Note
Some models have multiple contextual versions whose availability differs by region. For more information, see Model support by AWS Region.
| Model name | No-commitment purchase supported for base model | Model ID for Provisioned Throughput |
|---|---|---|
| Amazon Titan Text G1 - Express | Yes | amazon.titan-text-express-v1:0:8k |
| Amazon Titan Text G1 - Lite | Yes | amazon.titan-text-lite-v1:0:4k |
| Amazon Titan Text Premier (preview) | Yes | amazon.titan-text-premier-v1:0:32K |
| Amazon Titan Embeddings G1 - Text | Yes | amazon.titan-embed-text-v1:2:8k |
| Amazon Titan Embeddings G1 - Text v2 | Yes | amazon.titan-embed-text-v2:0:8k |
| Amazon Titan Multimodal Embeddings G1 | Yes | amazon.titan-embed-image-v1:0 |
| Amazon Titan Image Generator G1 | No | amazon.titan-image-generator-v1:0 |
| Anthropic Claude v2 18K | Yes | anthropic.claude-v2:0:18k |
| Anthropic Claude v2 100K | Yes | anthropic.claude-v2:0:100k |
| Anthropic Claude v2.1 18K | Yes | anthropic.claude-v2:1:18k |
| Anthropic Claude v2.1 200K | Yes | anthropic.claude-v2:1:200k |
| Anthropic Claude 3 Sonnet 28K | Yes | anthropic.claude-3-sonnet-20240229-v1:0:28k |
| Anthropic Claude 3 Sonnet 200K | Yes | anthropic.claude-3-sonnet-20240229-v1:0:200k |
| Anthropic Claude 3 Haiku 48K | Yes | anthropic.claude-3-haiku-20240307-v1:0:48k |
| Anthropic Claude 3 Haiku 200K | Yes | anthropic.claude-3-haiku-20240307-v1:0:200k |
| Anthropic Claude Instant v1 100K | Yes | anthropic.claude-instant-v1:2:100k |
| AI21 Labs Jurassic-2 Ultra | Yes | ai21.j2-ultra-v1:0:8k |
| Cohere Command | Yes | cohere.command-text-v14:7:4k |
| Cohere Command Light | Yes | cohere.command-light-text-v14:7:4k |
| Cohere Embed English | Yes | cohere.embed-english-v3:0:512 |
| Cohere Embed Multilingual | Yes | cohere.embed-multilingual-v3:0:512 |
| Stable Diffusion XL 1.0 | No | stability.stable-diffusion-xl-v1:0 |
| Meta Llama 2 Chat 13B | No | meta.llama2-13b-chat-v1:0:4k |
| Meta Llama 2 13B | No | (see note below) |
| Meta Llama 2 70B | No | (see note below) |
Note
The Meta Llama 2 (non-chat) models can only be used after being customized and after purchasing Provisioned Throughput for them.
The CreateProvisionedModelThroughput response returns a provisionedModelArn. You can use this ARN or the name of the provisioned model in supported Amazon Bedrock operations. For more information about Provisioned Throughput, see Provisioned Throughput for Amazon Bedrock.
