All data, especially pricing, captured Data captured January 8, 2026·Always verify with official sources

Last Updated: January 8, 2026

VercelvsAWS

Agent Stack Technical Evaluation

A comprehensive comparison of Vercel + AI SDK versus AWS Bedrock AgentCore + Strands SDK for building production-ready AI agents.

Infra + Framework

Vercel + AI SDK

Infra + Framework

AWS Bedrock AgentCore + Strands SDK

Key FindingsInfra ≈ 3% of TCO•Time-to-first-agent: 3 min vs 60+ min

Section 0 — Foreword

There Is No "Batteries Included" Solution.Yet.

As of January 2026, neither Vercel nor AWS offers a single, unified "agent framework + infrastructure" package that just works out of the box. What we see instead—on both sides—is a composition-based approach: assembling a solution from a series of SDKs, managed services, and infrastructure primitives.

What teams expect

agent-platform

One package, everything works

What actually exists

ai-sdk+functions+kv+postgres+blob+...

This isn't a value judgment—it's simply the state of the ecosystem. Both platforms require you to understand how pieces fit together, make explicit trade-offs, and own the integration surface area. The question isn't "which one is turnkey?" but rather "which composition aligns better with your team's constraints and priorities?"

What This Report Does

We examine each platform's components side-by-side: compute models, state management, orchestration patterns, and operational characteristics. The goal is to surface the actual differences—not marketing claims—so you can make decisions based on what each stack genuinely offers today.

Let's examine the components...

Section 1

Infrastructure Footprint

Full lifecycle comparison of the "blessed path" — officially recommended, out-of-the-box developer experience.

Agent Foundations

Core SDKs and gateways for building AI agents with reasoning and tool use

Capability

Vercel

AWS

Agent Framework

Core SDK for building agentic AI applications with tool loops and multi-step reasoning

Vercel AI SDK

ToolLoopAgent, streamText, tools, stopWhen conditions

Documentation

Strands Agents SDK

Agent class, tools, model providers, multi-agent support

Documentation

Model Gateway

Unified API to route requests across multiple LLM providers with automatic failover

AI Gateway

Provider auto-failover, model fallbacks, 0% markup, 20+ providers, 100+ global PoPs, BYOK

Documentation

Amazon Bedrock

Foundation models, 10+ providers, cross-region inference

Documentation

Tool Management

Connect external APIs, databases, and services as callable tools for agents

Native tool calling

MCP client (experimental), provider integrations

Documentation

Bedrock AgentCore Gateway

Connects to MCP servers, tool indexing, priced operations

Documentation

Infrastructure

Compute, execution environments, and workflow orchestration

Capability

Vercel

AWS

Infrastructure Wrapper

Managed compute layer that handles scaling, deployments, and runtime lifecycle

Vercel Platform

Edge/Serverless/Fluid Compute, 800s max duration

Documentation

Bedrock AgentCore Runtime

microVM-per-session, up to 8h maxLifetime

Documentation

Secure Code Execution

Sandboxed environment for running untrusted or AI-generated code safely

Sandbox SDK

Firecracker microVMs, Node.js + Python, 8 vCPUs max

Documentation

Bedrock AgentCore Code Interpreter

Containerized, Python/JS/TS, 5GB files, 8h max

Documentation

Durable Workflows

Long-running, resumable workflows that survive failures and deployments

Workflow SDK

"use workflow" directive, survives deployments

Documentation

Bedrock AgentCore Runtime Sessions

Up to 8 hours, configurable idle timeout

Documentation

Browser Automation

Programmatic browser control for web scraping, testing, and UI automation

Kernel (Marketplace) + Computer Use

Cloud-native browser instances via API/SDK, Puppeteer/Playwright support; native integration coming soon

Documentation

Bedrock AgentCore Browser Tool

Cloud-based, CAPTCHA reduction via Web Bot Auth

Documentation

Security & Identity

Authentication, authorization, and access control

Capability

Vercel

AWS

Authorization

Policy-based access control determining what actions users and agents can perform

App-layer

Middleware + env vars, custom implementation

Bedrock AgentCore Policy

Cedar-based authorization + IAM integration

Documentation

Identity / OAuth

User authentication and identity management with social/enterprise providers

NextAuth/Auth.js

App-layer, custom implementation

Bedrock AgentCore Identity

OAuth, API keys, $0.010/1K requests

Documentation

Operations

State management, memory, and monitoring

Capability

Vercel

AWS

Persistent Memory

Store conversation history and agent state across sessions for continuity

BYO (Redis/DB)

External databases, vector stores, custom implementation

Bedrock AgentCore Memory

Built-in short-term + long-term with strategies

Documentation

Observability

Tracing, logging, and metrics to debug and monitor agent behavior

AI SDK telemetry

OTEL-compatible spans, onStepFinish callbacks

Bedrock AgentCore Observability

CloudWatch-backed, step visualization, metadata tagging

Documentation

Key Architecture Insight

bedrock-agentcore-sdk-python is the infrastructure wrapper, NOT the agent framework. Agent logic uses Strands SDK. This mirrors how Vercel's AI SDK handles agent logic while the Vercel platform provides infrastructure.

Section 2

2026 Unit Economics

Cost analysis for 1,000 agent turns with Claude Sonnet 4.5

Workload Assumptions

1,000

Agent turns

2,000

Input tokens/turn

500

Output tokens/turn

Active CPU/turn

Claude 4.5 Pricing (per 1M tokens)

flagship

Claude Opus 4.5

Input

$5.00

Output

$25.00

balanced

Claude Sonnet 4.5

Input

$3.00

Output

$15.00

fast

Claude Haiku 4.5

Input

$1.00

Output

$5.00

AWS Bedrock Pricing Note

Bedrock global endpoints match Anthropic direct pricing (shown above). Regional endpoints add a 10% premium for data residency guarantees. This applies to Claude 4.5+ models.

Vercel Stack

AI Gateway passthrough pricing

Model (Claude Sonnet 4.5)

2M input × $3 + 0.5M output × $15

$13.50

Sandbox SDK (CPU)

1,000 turns × 5s × $0.128/hr

$0.18

Sandbox Memory

4 GB × 1.39 hrs × $0.0106/GB-hr

$0.06

Sandbox Creations

1,000 × $0.60/1M

$0.0006

Network (1 GB)

1 GB × $0.15

$0.15

Total$13.89

AWS Stack

Global endpoint pricing

Model (Claude Sonnet 4.5)

2M input × $3 + 0.5M output × $15

$13.50

Bedrock AgentCore Runtime CPU

5,000s × $0.0895/hr

$0.12

Bedrock AgentCore Runtime Memory

4 GB × 1.39 hrs × $0.00945/GB-hr

$0.05

Gateway Invocations

2,000 tool calls × $0.005/1K

$0.01

Memory (short-term)

1,000 × $0.25/1K

$0.25

Total

+$1.35 with regional endpoints

$13.93

Key Insight

Infrastructure costs are negligible compared to model costs. The primary cost driver is LLM inference.

97%

Model costs

Infrastructure

The "Effort" Tax: Extended Thinking

Extended thinking tokens are billed as output tokens on both platforms

Low Effort

~1x baseline

Minimal cost impact

Medium Effort

~2-3x output

Moderate increase

High Effort

~5-10x output

2-3x total cost

Vercel Pricing Tiers

On-Demand

Pay per token

Baseline

Amazon Bedrock Pricing Tiers

On-Demand

Pay per token

Baseline

Provisioned

Purchase Model Units (MUs) with 1-month or 6-month commitments for guaranteed throughput. Longer commitments = lower hourly rates.

Reserved capacity

Commitment discount

Batch Mode

Process multiple prompts asynchronously via S3. Results retrieved from bucket when complete. Not supported for provisioned models.

Async processing

50% discount

Prompt Caching

Cache frequently-used prompt components to skip recomputation. 5-minute TTL. Cached tokens charged at reduced rate.

Cache prompts

Up to 90% off

Interactive Tool

Cost Scenario Calculator

Adjust parameters to explore cost implications across different workloads.

Number of Agent Turns1,000

10010,000

Model Selection

Use Bedrock Regional Endpoints+10% premium

Regional endpoints guarantee data routing within specific AWS regions. Global endpoints (default) route dynamically for maximum availability.

Per-turn assumptions

Input tokens:1,000

Output tokens:500

Active CPU:1 second

Memory:1-2 GB

AWS Total Cost

Regional endpoints (+10%)

$12.60

Model Costs$11.55

Infrastructure$1.05

Runtime CPU

$0.02

Runtime Memory

$0.01

Gateway Ops

$0.01

Short-term Memory

$1.00

Vercel Total Cost

$10.71

Model Costs$10.50

Infrastructure$0.21

Active CPU

$0.04

Provisioned Memory

$0.02

Sandbox Creations

$0.0006

Network (1GB est.)

$0.15

Vercel AI Gateway: Built-in Resilience

AI Gateway provides automatic provider failover and model fallbacks out of the box. If a provider is down or a model fails (context limits, unsupported inputs, outages), requests automatically route to backup providers or fallback models.

10-14%

P99 latency improvement

24.3%

Error rate reduction

Markup on inference

Model Fallbacks Changelog Cline Production Metrics

AWS

$12.60

Vercel

$10.71

Section 3

Code Examples

Side-by-side comparison of agent implementation patterns

Vercel StackTypeScript

import { ToolLoopAgent, stepCountIs } from 'ai';
import { weatherTool } from '@/tools/weather';

export const weatherAgent = new ToolLoopAgent({
  model: 'anthropic/claude-sonnet-4.5',
  instructions: 'You are a helpful weather assistant.',
  tools: {
    weather: weatherTool,
  },
  stopWhen: stepCountIs(20), // Max 20 steps
});

const result = await weatherAgent.generate({
  prompt: 'What is the weather in San Francisco?',
});

AWS StackPython / Cedar

from strands import Agent
from strands_tools import calculator

# Create an agent with tools
agent = Agent(tools=[calculator])

# Invoke the agent
result = agent("What is the square root of 1764?")
print(result.message)

Agent Abstraction

Vercel: ToolLoopAgent

AWS: Agent

Loop Control

Vercel: stopWhen: stepCountIs(N)

AWS: Policy-driven via Cedar

Infrastructure Wrapper

Vercel: Platform handles deployment

AWS: @app.entrypoint

Section 4

Deployment Setup Comparison

The infrastructure story is where these stacks diverge most dramatically

Vercel Setup~3 min

Install Vercel CLI

One global package, no other dependencies

npm i -g vercel

Link & Deploy

Connect repo and deploy in one command

vercel

Push Updates

Auto-deploys on every push, preview URLs for PRs

git push origin main

Done

Auto-provisioned: Functions, Edge, CDN, SSL, Preview Deploys

Framework-defined Infrastructure™

Your code structure determines the infrastructure. No CloudFormation, no Terraform, no IAM policies to configure.

AWS Setup60+ min

Install AWS CLI & CDK

brew install awscli && npm i -g aws-cdk

Configure IAM Credentials

aws configure --profile agent-deploy

Bootstrap CDK in Account

cdk bootstrap aws://ACCOUNT_ID/REGION

Configure IAM Permissions

Your deployment role needs these permissions:

iam:CreateServiceLinkedRole

bedrock:*

ecr:CreateRepository, ecr:PutImage

s3:CreateBucket, s3:PutObject

lambda:CreateFunction

logs:CreateLogGroup

... and 20+ more actions

Write CDK Stack

Define your infrastructure in TypeScript (~100+ lines):

import * as agentcore from '@aws-cdk/aws-bedrock-agentcore-alpha';
import * as ecr from 'aws-cdk-lib/aws-ecr';
import * as iam from 'aws-cdk-lib/aws-iam';

export class AgentStack extends cdk.Stack {
  constructor(scope: Construct, id: string) {
    super(scope, id);

    // ECR repository for agent container
    const repo = new ecr.Repository(this, 'AgentRepo');

    // Agent runtime from Docker image
    const artifact = agentcore.AgentRuntimeArtifact
      .fromEcrRepository(repo, 'latest');

    const runtime = new agentcore.Runtime(this, 'Runtime', {
      runtimeName: 'my-agent',
      agentRuntimeArtifact: artifact,
    });

    // Grant model access
    runtime.grantInvokeModel(
      BedrockFoundationModel.ANTHROPIC_CLAUDE_SONNET_4
    );

    // Add memory, gateway, code interpreter...
  }
}

+ Dockerfile, buildspec.yml, cdk.json, tsconfig.json...

Build & Push Container

docker build --platform linux/arm64 -t agent .

Deploy Stack

cdk deploy --all --require-approval never

Enterprise-grade Control

Full control over VPCs, IAM, encryption, and networking. Required for regulated industries and complex integrations.

Time to First Deploy

3min

60+min

Config Files Required

0-1files

5+files

IAM Policies to Configure

3-10+

Section 5

Regional Availability

Both platforms have global infrastructure. Service availability varies by region and feature set.

AWS Global Regions

AgentCore Full Stack

Vercel Compute Regions

126

Vercel Edge PoPs

AWS AgentCore Availability

Full Stack: 9 of 34 AWS regions (26%)

Partial Support: 6 regions (Memory/Gateway/Identity)

No AgentCore: 19 regions

Evaluations (Preview): 4 regions only

Vercel Service Availability

Functions & Fluid Compute: All 19 regions

AI Gateway: Global (126 PoPs)

Workflow SDK: All regions

Sandbox SDK: iad1 only (Beta)

Hover over markers for details

Loading map...

Full AgentCore (9)

Partial (6)

No AgentCore (19)

Section 6

Adoption Metrics

GitHub repository statistics and development velocity indicators

vercel/ai

Vercel AI SDK for TypeScript

View repository

Latest Tag

ai@6.0.23

Language

TypeScript

Forks

~3,600

Open Issues

~884

60-Day Issue Activity

356 opened

366 closed

Ratio:0.97(Healthy)

Last commit: Jan 8, 2026, 05:15 PM•Fullstack (React, Next.js, Svelte, Vue)

strands-agents/sdk-python

Strands Agents SDK

View repository

Latest Tag

v1.21.0

Language

Python

Forks

~609

Open Issues

~137

60-Day Issue Activity

137 opened

73 closed

Ratio:1.88(Growing backlog)

Last commit: Jan 8, 2026, 03:50 PM•Backend/ML (Python, boto3)

aws/bedrock-agentcore-sdk-python

Bedrock AgentCore Infrastructure SDK

View repository

Latest Tag

v1.1.4

Language

Python

Forks

~43

Open Issues

~13

60-Day Issue Activity

13 opened

3 closed

Ratio:4.33(New project)

Last commit: Jan 8, 2026, 06:28 PM•Infrastructure (Python)

Vercel AI SDK

Active Development Signals

V6 milestone active
Issues for generateImage()
Provider fixes (OpenAI, Anthropic)
Per-step timeouts in 6.0.23

Bedrock AgentCore

Active Development Signals

GA announced Oct 2025
Policy + Evaluations in preview
Browser Tool GA
TypeScript SDK preview Dec 2025

Issue counts based on GitHub API data filtered by created_at ≥ 2025-11-09. Ratio = Open/Closed issues created in period.

Changelog

Recent Platform Updates

Key changes affecting agent development and infrastructure decisions.

Vercel AI SDK

SDKSDK

SDK 5.x (generateText, streamText with maxSteps)

Current

SDK 6.x (ToolLoopAgent class)

Key Changes

New agent-first abstraction with ToolLoopAgent
stopWhen conditions for loop control
Built-in loop management with 20-step default
system renamed to instructions

Latest: ai@6.0.23

Bedrock AgentCore

PreviewGA

Preview (July 2025)

Current

GA (October 2025)

Key Changes

Production SLAs and consumption-based pricing
Cedar-based Policy (preview)
Evaluations capability (preview)
Browser Tool + Code Interpreter GA

Latest: v1.1.4

Strands SDK

Initialv1.21.0

Initial Python Release

Current

v1.21.0 Stable

Key Changes

TypeScript preview announced (Dec 2025)
Multi-agent orchestration support
Model-agnostic provider routing
Extended tool ecosystem

Latest: v1.21.0

VercelvsAWS

Agent Stack Technical Evaluation

There Is No "Batteries Included" Solution.Yet.

What This Report Does

Infrastructure Footprint

Agent Foundations

Infrastructure

Security & Identity

Operations

Key Architecture Insight

2026 Unit Economics

Claude 4.5 Pricing (per 1M tokens)

Claude Opus 4.5

Claude Sonnet 4.5

Claude Haiku 4.5

Vercel Stack

AWS Stack

Key Insight

The "Effort" Tax: Extended Thinking

Vercel Pricing Tiers

On-Demand

Amazon Bedrock Pricing Tiers

On-Demand

Provisioned

Batch Mode

Prompt Caching

Cost Scenario Calculator

AWS Total Cost

Vercel Total Cost

Vercel AI Gateway: Built-in Resilience

Code Examples

Agent Abstraction

Loop Control

Infrastructure Wrapper

Deployment Setup Comparison

Install Vercel CLI

Link & Deploy

Push Updates

Done

Install AWS CLI & CDK

Configure IAM Credentials

Bootstrap CDK in Account

Configure IAM Permissions

Write CDK Stack

Build & Push Container

Deploy Stack

Time to First Deploy

Config Files Required

IAM Policies to Configure

Regional Availability

Vercel Compute Regions

AWS Bedrock AgentCore Regional Matrix

Adoption Metrics

vercel/ai

strands-agents/sdk-python

aws/bedrock-agentcore-sdk-python

Vercel AI SDK

Bedrock AgentCore

Recent Platform Updates

Vercel AI SDK

Bedrock AgentCore

Strands SDK

Code Examples

Agent Abstraction

Loop Control

Infrastructure Wrapper

Regional Availability

Vercel Compute Regions

AWS Bedrock AgentCore Regional Matrix