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Get list of models - Amazon Bedrock

Get list of models

Amazon Bedrock provides separate model discovery experiences for its inference endpoints. For new applications, use bedrock-runtime. For an overview of the endpoints, see Endpoints supported by Amazon Bedrock.

  • bedrock-runtime (recommended) – Use the AWS-native ListFoundationModels API to discover foundation models and ListInferenceProfiles to discover inference profiles. The OpenAI-compatible GET /openai/v1/models operation and client.models.list() aren't available on bedrock-runtime. Check each model card for endpoint-specific API support and the exact model or system inference profile ID to use.

    Note

    The response also returns model IDs that aren't in the base model ID or base model IDs for Provisioned Throughput charts. These model IDs are deprecated or for backwards compatibility.

  • bedrock-mantle (compatibility) – Use the OpenAI-compatible /models endpoint (for example, client.models.list() with the OpenAI SDK) to list the models available on bedrock-mantle.

Choose a tab to see code examples in an interface or language.

Discover models and inference profiles for bedrock-runtime

AWS CLI

List the Amazon Bedrock foundation models.

aws bedrock list-foundation-models

List the inference profiles available to your account.

aws bedrock list-inference-profiles

Get information about Anthropic Claude v2.

aws bedrock get-foundation-model --model-identifier anthropic.claude-sonnet-4-20250514-v1:0
Python

List the Amazon Bedrock foundation models.

import boto3 
bedrock = boto3.client(service_name='bedrock')

bedrock.list_foundation_models()

List the inference profiles available to your account.

import boto3
bedrock = boto3.client(service_name='bedrock')

bedrock.list_inference_profiles()

Get information about Anthropic Claude v2.

import boto3 
bedrock = boto3.client(service_name='bedrock')

bedrock.get_foundation_model(modelIdentifier='anthropic.claude-sonnet-4-20250514-v1:0')
curl

List the Amazon Bedrock foundation models. Requires AWS credentials in the environment (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, and optionally AWS_SESSION_TOKEN) and curl 7.75.0 or later for --aws-sigv4 support.

curl -X GET "https://bedrock.us-east-1.amazonaws.com/foundation-models" \
    --aws-sigv4 "aws:amz:us-east-1:bedrock" \
    --user "$AWS_ACCESS_KEY_ID:$AWS_SECRET_ACCESS_KEY"

Get information about Anthropic Claude v2.

curl -X GET "https://bedrock.us-east-1.amazonaws.com/foundation-model/anthropic.claude-sonnet-4-20250514-v1:0" \
    --aws-sigv4 "aws:amz:us-east-1:bedrock" \
    --user "$AWS_ACCESS_KEY_ID:$AWS_SECRET_ACCESS_KEY"

List models on bedrock-mantle

OpenAI SDK (Python)
# List all available models using the OpenAI SDK
# Requires OPENAI_API_KEY and OPENAI_BASE_URL environment variables

from openai import OpenAI

client = OpenAI()

models = client.models.list()

for model in models.data:
    print(model.id)
Anthropic SDK (Python)
from anthropic import AnthropicBedrockMantle

client = AnthropicBedrockMantle(aws_region="us-east-1")
models = client.models.list()

for model in models.data:
    print(model.id)
Note

The bedrock-mantle /v1/models endpoint returns OpenAI-shaped model entries. Only model.id is reliable when using the Anthropic SDK; other fields on ModelInfo may be empty.

curl
# List all available models
# Requires OPENAI_API_KEY and OPENAI_BASE_URL environment variables

curl -X GET $OPENAI_BASE_URL/models \
   -H "Authorization: Bearer $OPENAI_API_KEY"