AWS Bedrock: DeepSeek V3.2 (Bedrock)

Name: DeepSeek V3.2 (Bedrock) API
Brand: Aws Bedrock

stable

DeepSeek V3.2 (Bedrock) is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.

deepseek.v3.2deepseekreleased Feb 6, 2026

Provider Quick start

Context

163.8K

tokens

Max output

81.9K

tokens

Input

$0.62

per 1M

Output

$1.85

per 1M

Activity

Daily period usage

Aggregated managed Everstack traffic. Buckets below 5 tenants or 100 requests are withheld.

Providers

ProviderContextInput /MOutput /M

AWS Bedrock

163.8K$0.62$1.85

Pricing

Item	Price	Unit
Input	$0.62	per 1M tokens
Output	$1.85	per 1M tokens

Performance

Reliability

Compare

Compare usage and performance

Place this model beside up to three other catalog models.

Capabilities

Modalities

Input

Output

Details

Model ID: deepseek.v3.2
Family: deepseek
Status: stable
Knowledge: -
Released: Feb 6, 2026

Gateway Config

API: 2024-01-01
Auth: AWS_REGION
Discovery: static
Provider type: static

Quick Start

index.ts

import Everstack from "@everstack/node";const client = new Everstack({  apiKey: process.env.EVERSTACK_API_KEY!,  baseUrl: "https://{instance}.{region}.everstack.ai",});const completion = await client.chat.completions.create({  model: "@aws-bedrock/deepseek.v3.2",  messages: [{ role: "user", content: "Explain vector cache routing." }],});console.log(completion.choices[0]?.message?.content);

Endpoint

Base URL

https://bedrock-runtime.{region}.amazonaws.com

Chat completions

https://bedrock-runtime.{region}.amazonaws.com/chat/completions

Model

deepseek.v3.2

Auth env

AWS_REGION

DeepSeek V3.2 (Bedrock) FAQ

How much does the DeepSeek V3.2 (Bedrock) API cost?

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

What is the context window of DeepSeek V3.2 (Bedrock)?

DeepSeek V3.2 (Bedrock) accepts up to 163.8K tokens of context and returns up to 81.9K output tokens on AWS Bedrock.

What can DeepSeek V3.2 (Bedrock) do?

DeepSeek V3.2 (Bedrock) supports chat, function calling and reasoning. It accepts text input.

How do I call DeepSeek V3.2 (Bedrock) through Everstack?

Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @aws-bedrock/deepseek.v3.2. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.