Key facts
| Provider | AWS Bedrock — a managed multi-vendor model service inside the AWS cloud |
| API style | AWS-native APIs, including the Converse API, with IAM-based access control |
| Plugsky API | OpenAI-compatible /v1/chat/completions — change the base URL, keep your SDK |
| Models | 30+ models from free to frontier behind one API key |
| Pricing | Flat monthly plans with unlimited fair-use usage; no per-token billing on self-serve |
| Free tier | Free plan with plugsky-micro and plugsky-lite, no card; 14-day full-access trial |
| Deployment | Plugsky cloud, your VPC, on-prem or air-gapped; region choice for residency |
| Live vs roadmap | Chat, streaming, JSON mode, function calling, embeddings, RAG, agents live; audio, images, moderation, files, batch, fine-tuning, assistants, responses coming soon |
TL;DR
- Bedrock is strong if you are all-in on AWS and want IAM, VPC and AWS billing.
- The usual reasons to switch: cloud lock-in, model vendor spread and API shape.
- Plugsky gives OpenAI-compatible access to 30+ models with flat monthly self-serve pricing.
- Region choice plus VPC, on-prem and air-gapped deployment cover regulated workloads.
- Honest trade-off: Bedrock's AWS-native security and governance integrations go deeper.
How it works, step by step
- List which Bedrock model families and regions you depend on today.
- Decide whether AWS-native controls (IAM, VPC, Guardrails) are contractual requirements.
- Create a Plugsky account and map each Bedrock model to a Plugsky equivalent.
- Move one service from the AWS SDK to an OpenAI-compatible client, or keep both behind an internal interface.
- Re-run evaluations and compare tool-calling, JSON mode and streaming behaviour.
- Migrate workload by workload, tracking spend against your previous AWS bill shape.
Original data
Try it yourself
Open the AWS Bedrock cost calculator →
Why teams look beyond Bedrock
Bedrock's appeal is that it lives where your infrastructure already lives: IAM, VPC endpoints, CloudWatch and one AWS bill. That is also the constraint. Model access is a function of AWS regions, the API surface is AWS-native rather than OpenAI-compatible, and every application that calls it inherits AWS SDK dependencies.
Teams also run into commercial friction. Usage-based billing makes forecasting harder as traffic scales across many small services, and onboarding a new model family can mean waiting on region availability rather than a configuration change.
What a Bedrock alternative should preserve
A migration should not trade away the properties that made Bedrock attractive. Look for mature key management, clear status and SLAs, and a deployment story that reaches regulated environments.
- OpenAI compatibility so application code is portable across providers.
- One catalogue of 30+ models instead of per-vendor onboarding.
- Flat monthly self-serve pricing with no per-token surprises (live pricing).
- Region selection, VPC, on-prem and air-gapped options.
How Plugsky compares and where Bedrock still wins
Plugsky exposes an OpenAI-compatible endpoint, so a service written against OpenAI-format clients can move with a base-URL change and a model map. The free plan includes plugsky-micro and plugsky-lite, and a 14-day full-access trial covers paid models. Chat, streaming, JSON mode, function calling, embeddings, RAG and agents are live; audio, images, moderation, files, batch, fine-tuning, assistants and responses are coming soon.
Be honest about the gaps: if your compliance model depends on AWS Organizations, PrivateLink or Guardrails, Bedrock's native integration is deeper, and its vendor list is broader. Plugsky is the better fit when portability, cost predictability and deployment control matter more than AWS-native plumbing.
Honest comparison
| Capability | Plugsky | AWS Bedrock | Building in-house |
|---|---|---|---|
| API style | OpenAI-compatible drop-in (base URL + model name) | AWS-native APIs and Converse API with IAM | You define the schema |
| Model catalogue | 30+ curated models, one key | Broad vendor list scoped by AWS region | You host each model |
| Billing | Flat monthly, unlimited fair use (see live pricing) | Usage-based, billed through AWS | GPU + ops cost |
| Data residency | Region choice, VPC, on-prem, air-gapped | AWS regions with AWS-native controls | You control the infrastructure |
| Free tier | plugsky-micro + plugsky-lite, no card | No standalone free tier | None |
| Honest gap | Audio, images, files, batch, fine-tuning coming soon | Deeper AWS IAM, PrivateLink and Guardrails integration | You build it |
Frequently asked questions
What is AWS Bedrock?
AWS Bedrock is a managed service that exposes models from multiple vendors through AWS-native APIs, with access control and networking handled by AWS.
Why would I choose a Bedrock alternative?
Common reasons are avoiding cloud lock-in, wanting an OpenAI-compatible API, needing predictable flat pricing, or deploying outside a single cloud provider.
Can I keep using my AWS infrastructure?
Yes. Plugsky is an API-first platform, so it can coexist with AWS-hosted applications while replacing the model-serving layer.
Is there a free plan?
Yes — plugsky-micro and plugsky-lite are free with no credit card, and a 14-day full-access trial lets you evaluate paid models.
How is Plugsky priced?
Self-serve plans are flat monthly with unlimited fair-use usage and no per-token billing. See the live pricing page for current plans.
Does Plugsky match Bedrock's model catalogue?
No. Bedrock lists more vendors; Plugsky offers a curated 30+ models with one API, one bill and deployment control.
Can I deploy in my own environment?
Yes. Plugsky supports VPC, on-prem and air-gapped deployments, with region selection for data residency.