LLM Reference
AWS Bedrock

DeepSeek V3.2 on AWS Bedrock

DeepSeek V3 · DeepSeek

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Last refreshed 2026-05-20. Next refresh: weekly.

Why use DeepSeek V3.2 on AWS Bedrock?

AWS Bedrock offers DeepSeek V3.2 with pay-as-you-go pricing at $0.62/1M 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 V3.2 across 7 providers to find the best fit for your use case
Input / 1M
$0.62
Output / 1M
$1.85
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-v3.2",
Model ID
deepseek-v3.2

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-v3.2",
    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 V3.2 Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$0.56$1.68
NVIDIA NIM
AWS Bedrock$0.62$1.85
OpenRouter$0.25$0.38
Microsoft Foundry
View all 7 providers →

Pricing

TypePrice (per 1M)
Input tokens$0.62
Output tokens$1.85

Capabilities

Structured OutputsCode Execution

About DeepSeek V3.2

DeepSeek V3.2 is DeepSeek's DeepSeek V3 model. It offers a 160K-token context window with weights openly available for self-hosting and scores 70 on SWE-bench Verified.

FAQ

What does DeepSeek V3.2 cost on AWS Bedrock?

On AWS Bedrock, DeepSeek V3.2 costs $0.62 per 1M input tokens and $1.85 per 1M output tokens.

What is the context window for DeepSeek V3.2 on AWS Bedrock?

DeepSeek V3.2 supports a 160k token context window on AWS Bedrock.

How does AWS Bedrock compare to other DeepSeek V3.2 providers?

DeepSeek V3.2 is available from 7 providers. The cheapest input pricing is $0.252/1M tokens from OpenRouter.

Who created DeepSeek V3.2?

DeepSeek V3.2 was created by DeepSeek as part of the DeepSeek V3 model family.

Is DeepSeek V3.2 open source?

DeepSeek V3.2 is open source according to the seed data.

Get Started

Model Specs

Released2025-12-01
Parameters671B
Context160k
ArchitectureDecoder Only

GPU-Hour Providers(1)

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