LLM Reference
AWS Bedrock

DeepSeek V3.1 on AWS Bedrock

DeepSeek V3 · DeepSeek

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Last refreshed 2026-06-15. Next refresh: weekly.

Why use DeepSeek V3.1 on AWS Bedrock?

AWS Bedrock offers DeepSeek V3.1 with pay-as-you-go pricing at $0.60/1M 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 V3.1 across 8 providers to find the best fit for your use case
Input / 1M
$0.60
Output / 1M
$1.73
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-v3.1",
Model ID
deepseek-v3.1

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-v3.1",
    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 V3.1 Across Providers

ProviderInput (per 1M)Output (per 1M)
Microsoft Foundry
Fireworks AI$0.56$1.68
NVIDIA NIM
Together AI$0.60$1.70
AWS Bedrock$0.60$1.73
View all 8 providers →

Pricing

TypePrice (per 1M)
Input tokens$0.60
Output tokens$1.73

Capabilities

VisionMultimodalStructured OutputsCode Execution

About DeepSeek V3.1

Enhanced reasoning and grounded retrieval model from DeepSeek with multimodal text and image understanding.

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Model Specs

Released2025-08-21
Parameters671B total, 37B active (MoE)
Context64k
ArchitectureMixture of Experts

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