LLM ReferenceLLM Reference
AWS Bedrock

DeepSeek R1 on AWS Bedrock

DeepSeek R1 · DeepSeek

ServerlessOpen Source

Last refreshed 2026-05-11. Next refresh: weekly.

Why use DeepSeek R1 on AWS Bedrock?

AWS Bedrock offers DeepSeek R1 with pay-as-you-go pricing at $1.35/1M input tokens. AWS Bedrock is Amazon's fully managed foundation-model service, providing unified API access to top models from Anthropic, Meta, Mistral, and other leading AI labs with built-in tools for RAG, fine-tuning, and AI agent development.

Compare DeepSeek R1 across 13 providers to find the best fit for your use case
Input / 1M
$1.35
Output / 1M
$5.40
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install boto3
Auth
export AWS_ACCESS_KEY_ID=...
Call
import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="deepseek-r1",
Model ID
deepseek-r1

Request example

import boto3

# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="deepseek-r1",
    messages=[{
        "role": "user",
        "content": [{"text": "Hello"}]
    }]
)
print(response["output"]["message"]["content"][0]["text"])

Gotchas

  • Use Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.
  • The endpoint template includes a region segment; set the same region in your SDK/client configuration.
  • The examples expect AWS_ACCESS_KEY_ID; rename it only if your application config maps the new variable.

Compare DeepSeek R1 Across Providers

ProviderInput (per 1M)Output (per 1M)
DeepSeek Platform$0.55$2.19
OpenRouter$0.70$2.50
Together AI$3.00$7.00
Fireworks AI$0.56$1.68
NVIDIA NIM
View all 13 providers →

Pricing

TypePrice (per 1M)
Input tokens$1.35
Output tokens$5.40

Capabilities

ReasoningStructured OutputsCode Execution

About DeepSeek R1

DeepSeek R1: Reasoning-optimized model with extended thinking capabilities. 128K context.

FAQ

What does DeepSeek R1 cost on AWS Bedrock?

On AWS Bedrock, DeepSeek R1 costs $1.35 per 1M input tokens and $5.40 per 1M output tokens.

What is the context window for DeepSeek R1 on AWS Bedrock?

DeepSeek R1 supports a 128,000 token context window on AWS Bedrock.

How does AWS Bedrock compare to other DeepSeek R1 providers?

DeepSeek R1 is available from 13 providers. The cheapest input pricing is $0.1/1M tokens from Bitdeer AI.

Who created DeepSeek R1?

DeepSeek R1 was created by DeepSeek as part of the DeepSeek R1 model family.

Is DeepSeek R1 open source?

DeepSeek R1 is open source according to the seed data.

Get Started

Model Specs

Released2025-01-20
Parameters671B, 37B Active
Context128K
ArchitectureDecoder Only

GPU-Hour Providers(1)

Provider

AWS Bedrock
AWS Bedrock

Amazon Web Services

All models on AWS Bedrock