Key facts
| API compatibility | Bedrock uses AWS SDKs (InvokeModel, Converse) with IAM; Plugsky exposes an OpenAI-compatible /v1/chat/completions endpoint |
| Models | Bedrock aggregates vendors per region; Plugsky serves 30+ models behind one API |
| Pricing model | Bedrock bills per token plus provisioned throughput; Plugsky self-serve plans are flat monthly with fair-use usage |
| Free tier | AWS free-tier credits and model trials; Plugsky free plan includes 2 free AI models, no card |
| Deployment / residency | Bedrock runs in AWS regions with cross-region options; Plugsky offers cloud, VPC, on-prem and air-gapped |
| Migration effort | Adapters or a rewrite from AWS SDK calls to the OpenAI SDK; model IDs are remapped |
| Streaming, tools, JSON mode | Plugsky supports streaming, function calling and JSON mode as live capabilities |
| Product status | Plugsky chat, streaming, embeddings, RAG and agents are live; audio, images, batch and fine-tuning are coming soon |
TL;DR
- Leave Bedrock when per-token forecasting and region-bound catalogues slow your team down.
- Plugsky keeps your client code: change the base URL and model name on an OpenAI-compatible endpoint.
- Flat monthly self-serve pricing replaces per-token metering; check the live pricing page for current plans.
- Deploy on Plugsky cloud or your own VPC, on-prem or air-gapped to keep residency under your control.
- Stay on Bedrock where deep AWS IAM, CloudWatch and Marketplace integration matter more than flexibility.
How it works, step by step
- Inventory every Bedrock API you call: InvokeModel, Converse, Agents, Guardrails and embeddings.
- Map each Bedrock model ID to a Plugsky model and run a quick eval on your own prompts.
- Create a Plugsky API key and point a staging branch at the OpenAI-compatible endpoint.
- Replace AWS SDK call sites with the OpenAI SDK, or keep Bedrock for non-chat workloads.
- Verify streaming, tool calls and JSON mode against your existing integration tests.
- Model your real monthly traffic in the Bedrock cost calculator and compare with flat pricing.
- Cut over one workload at a time, keep Bedrock as a fallback, and watch usage analytics.
Original data
Try it yourself
Open the AWS Bedrock cost calculator →
Who should consider an AWS Bedrock alternative
Bedrock makes sense when your AI stack is already AWS-shaped: IAM roles, VPC endpoints, CloudWatch logs and Marketplace billing. Teams start looking elsewhere when the bill becomes hard to forecast, when the model they want is unavailable in their region, or when the same code must run across clouds. If your main pains are per-token spend and model or region sprawl rather than AWS integration, a managed OpenAI-compatible platform is the shorter path.
What to check before you switch
Run this checklist before moving chat traffic:
- API shape: Bedrock's Converse API is not OpenAI-native; count every call site that needs rewriting.
- Model mapping: list model IDs, context limits and tool-calling behaviour per workload.
- Auth and networking: decide how IAM, VPC endpoints and secrets translate.
- Data path: confirm where prompts and logs live in every region you use.
- Cost model: model a normal month on both per-token and flat pricing.
How Plugsky compares
Plugsky exposes an OpenAI-compatible /v1/chat/completions endpoint, so most chat, streaming and tool-calling code migrates by changing the base URL and model name. You get 30+ models behind one API, flat monthly self-serve pricing instead of per-token metering, and deployment options that include our cloud, your VPC, on-prem and air-gapped environments. A free plan with two models (plugsky-micro and plugsky-lite) and no card makes evaluation cheap. Specialist endpoints such as batch, audio and fine-tuning are roadmap items — check the docs before planning those migrations.
When Bedrock is still the right choice
Stay on Bedrock when AWS-native IAM, CloudWatch observability, PrivateLink networking, Marketplace procurement or existing AWS commitments outweigh API flexibility. It is also the pragmatic choice when you depend on Bedrock Agents, Guardrails or provisioned throughput, where Plugsky has no direct replacement today. A common pattern is hybrid: keep regulated or AWS-embedded workloads on Bedrock and move high-volume chat and embedding traffic to an OpenAI-compatible platform.
Honest comparison
| Capability | Plugsky | AWS Bedrock | Building in-house |
|---|---|---|---|
| API compatibility | OpenAI-compatible /v1/chat/completions | AWS SDKs (InvokeModel, Converse) with IAM | Full rewrite plus a serving stack |
| Pricing | Flat monthly self-serve plans with fair-use usage | Per-token on-demand plus provisioned throughput | GPUs, ops and scaling cost |
| Model access | 30+ models behind one API | Multi-vendor catalogue, region-dependent | You host every model yourself |
| Deployment / residency | Cloud, VPC, on-prem, air-gapped | AWS regions with cross-region options | Wherever you run GPUs |
| Integration | OpenAI SDK, one base-URL change | Deep AWS IAM, CloudWatch and Marketplace | You build it all |
| Specialist endpoints | Audio, images, batch and fine-tuning are coming soon | Broad catalogue including Agents and Guardrails | Custom work per endpoint |
Frequently asked questions
Can I call Plugsky from inside AWS?
Yes. Plugsky exposes an OpenAI-compatible HTTPS endpoint, so applications running in AWS call it over the network. VPC and private deployment options exist for stricter network boundaries.
Do I have to rewrite all my Bedrock code?
Chat and embedding calls need a thin adapter or a rewrite to the OpenAI SDK. Bedrock-only services such as Agents and Guardrails need separate evaluation before migrating.
Is there a free way to test the migration?
Yes. The free plan includes two free AI models (plugsky-micro and plugsky-lite) with no credit card, and a 14-day full-access trial is available.
How does pricing differ from Bedrock?
Bedrock bills per token and per provisioned unit, while Plugsky self-serve plans are flat monthly with unlimited fair-use usage. See the live pricing page for current plans.
Can I keep Bedrock for some workloads?
Yes. Many teams run hybrid: AWS-embedded or regulated workloads stay on Bedrock while chat and embedding traffic moves to Plugsky.
What about data residency?
Plugsky supports region selection and sovereign deployment options including VPC, on-prem and air-gapped environments. Match the region to your compliance requirements using the docs.
Which Plugsky model maps best to my Bedrock workload?
Check the model catalogue and run the OpenAI migration checker. For general chat, start with plugsky-plus or plugsky-pro; for retrieval, use plugsky-embed.
Does Plugsky support streaming and tool calling?
Yes — streaming, function calling and JSON mode are live, so interactive and structured-output workloads can move without waiting on roadmap items.