The Bedrock console is where you pick models, try them in the Playgrounds, run evaluations, and build Knowledge Bases, Agents, Guardrails and Flows without serving code. Here is every panel, what it does, what you can ship click-only, and when to switch to the API.
The console is the AWS Management Console surface for Amazon Bedrock. Every click maps to a Bedrock API action, which makes it a good way to learn the service.
Amazon Bedrock is a managed, multi-model inference service: one API for Claude, Llama, Mistral, Amazon Nova, Cohere, Stability AI, AI21, DeepSeek and others, with no GPUs to run (overview at Amazon Bedrock). The console is the control panel: try models, configure the managed building blocks (RAG, agents, safety, orchestration), and inspect costs.
The console is good at setup, exploration and configuration. Comparing two models on a prompt, pointing a Knowledge Base at a folder, drafting a Guardrail or running a small evaluation is faster by clicking, and each action is an auditable AWS call.
It is not your production runtime. The console produces resources (a Knowledge Base ID, an Agent alias, a Guardrail ID, a Flow) that your code then calls through the API. Section VIII draws that line.
Older guides say Bedrock starts with every model switched off. That changed. In commercial Regions AWS now enables access to many models by default.
Per the AWS model access guide, you can pick a model in the catalog and open it in a playground, or call it through the API, without a separate request step. The first call to a third-party model starts its AWS Marketplace subscription in the background, so the person or role making it needs aws-marketplace:Subscribe (plus Unsubscribe and ViewSubscriptions) and a valid payment method. After that, others can call it without Marketplace permissions.
Anthropic models need a one-time use-case form per account (or once at the organization's management account). Submit it by selecting an Anthropic model in the catalog. Access usually follows quickly, but it can sit in a pending state; AWS emails you when it is ready. Some models also need extra account-level access from AWS. AWS GovCloud still uses a Model access page.
To restrict which models people can use, deny bedrock:InvokeModel for those model ARNs with IAM or an SCP. Denying Marketplace subscribe alone does not block the first call.
The model catalog lists every model by provider with its modality (text, chat, vision, image, video, embeddings), context window, features and a pointer to pricing. It is where you confirm a model's exact model ID for API calls. Availability differs by Region.
An AccessDeniedException on first use usually means missing Marketplace permissions, an Anthropic use-case form that is not yet processed, or a Region where the model is not offered. It is rarely a bug.
The Playgrounds let you prompt a model in the browser, adjust parameters and compare models. Every call is billed per token.
The Chat / Text Playground takes a prompt (and optional system prompt) and lets you tune temperature, top-p, max tokens and stop sequences. Its most useful feature is compare mode: send one prompt to two models and read the answers, latency and token use side by side.
The Image / Video Playground does the same for media models (Amazon Nova Canvas, Stability, Amazon Nova Reel): prompt, size, variants, seed and style.
Most Playgrounds can show the API request behind your session. Prototype the prompt and parameters by hand, then copy the request into your code.
Each builder has a guided setup in the console. You configure a real resource, test it in place, and get an ID your app calls.
The builders compose: a typical assistant is a Knowledge Base for grounding, wrapped in a Guardrail, exposed through an Agent, and maybe orchestrated by a Flow. All of it can be configured and tested before you write a serving loop.
Three panels turn a prototype into something you can measure, reuse and specialize.
Create a job that scores one or more models on your dataset. Use automatic metrics (accuracy, robustness, toxicity), model-as-judge scoring, or human review by your team or an AWS-managed workforce. It replaces "this model feels better" with measured results on your tasks.
Author a prompt with variables, test it, and save it as a versioned resource that Flows, Agents or your code reference by ID. Prompt changes become tracked and reviewable.
Launch fine-tuning or distillation jobs on training data in S3, or import compatible weights. These incur training, storage and serving costs beyond plain inference. See Bedrock fine-tuning and Custom Model Import.
Who can do what (IAM) and what it costs (Billing) govern everything you click.
Cost: Bedrock charges flow into standard AWS billing. Use Cost Explorer, filter to Amazon Bedrock, and group by usage type or model. Console activity is billable: Playground prompts, evaluation jobs and Knowledge Base syncs and queries all consume tokens or resources. A long afternoon comparing frontier models adds up.
Access: each console action is a Bedrock API call governed by IAM. A teammate who sees errors or empty panels usually lacks permissions such as bedrock:ListFoundationModels, the invoke actions, or the builder actions. First use of a third-party model also needs Marketplace permissions.
Two settings to turn on early: model invocation logging (request and response payloads to S3 or CloudWatch) and, at organization level, SCPs that deny invoking models you have not approved.
If a person does it once, use the console. If software does it repeatedly, use the API.
Trying and comparing models, building and testing a Knowledge Base, Agent, Guardrail or Flow, running an evaluation, drafting prompts and starting a fine-tune all fit the console. Serving user traffic, batch jobs, CI/CD and infrastructure as code belong in the API and IaC.
For the API itself see the Bedrock API reference. For cost levers at volume see Bedrock pricing, prompt caching and batch inference.
| Task | Console | API / SDK / IaC | Why |
|---|---|---|---|
| Try a model, compare models | Yes (Playgrounds) | Optional | Interactive exploration |
| Submit the Anthropic use-case form | Yes (model catalog) | Also via PutUseCaseForModelAccess | One-time per account or organization |
| Run a model evaluation | Yes | Also API-launchable | Set up by hand, automate if repeated |
| Build and test a Knowledge Base | Yes | Query via RetrieveAndGenerate | Configure by clicking, query from your app |
| Build and test an Agent | Yes | Invoke via InvokeAgent | Define by clicking, call at run time |
| Configure a Guardrail | Yes | Apply via guardrailIdentifier | Author once, enforce on every call |
| Serve a chatbot to users | No | Yes (Converse API) | Production traffic runs in your app |
| High-volume or batch jobs | No | Yes (batch inference API) | Throughput and batch pricing are API features |
| Version and deploy as code | No | Yes (CloudFormation, CDK, Terraform) | Repeatable infrastructure |
Console experiments and production traffic both draw down AWS credits automatically.
Partner-filed funding: a vetted AWS partner can file POC (proof of concept) funding to take a prototype to a working pilot, MAP funding if you are moving from another cloud, or incremental workload (IW) funding if you already run on AWS and this is new work. For startups this is typically $50K to $150K. Depends on the workload; AWS approves.
AWS Activate: you apply yourself. Activate Founders gives self-funded startups $1,000 to start, up to $5,000. Activate Portfolio gives up to $200,000 with the Org ID from your VC, accelerator or angel group, if it is an Activate Provider. A consulting partner cannot file Activate for you.
CloudRoute matches you with one vetted AWS partner who can turn the console prototype into a governed production app and check which funding fits. Startups pay CloudRoute nothing. Partners pay CloudRoute a monthly membership plus 10% of AWS-approved funding.
| Funding | Who files it | Amount | When it fits |
|---|---|---|---|
| Migration Acceleration Program (MAP) | Your matched AWS partner | $50K to $150K for startups. Depends on the workload; AWS approves. | You are not on AWS yet and want to migrate. |
| Proof of concept (POC) funding | Your matched AWS partner | $50K to $150K for startups. Depends on the workload; AWS approves. | You want to test something, whether or not you are on AWS today. |
| Incremental workload (IW) funding | Your matched AWS partner | $50K to $150K for startups. Depends on the workload; AWS approves. | You are already on AWS and are launching new work: a new AI feature, a new customer or a new contract. |
| AWS Activate Founders | Founder applies | $1,000 to start, up to $5,000 | Self-funded startups with no investor or accelerator behind them. |
| AWS Activate Portfolio | Founder applies | up to $200,000 | Startups backed by a VC firm, accelerator or angel investor that is an AWS Activate Provider. |
| AWS Credits for AI Startups | Invite only (AWS account manager) | $200,000 or more, by invitation | AI startups ready to scale after Activate Portfolio, invited by AWS. |
There are four ways to work with Bedrock, and mature teams use all four.
| Surface | Best for | Strengths | Limits | Typical user |
|---|---|---|---|---|
| Bedrock console | Setup, exploration, one-off tasks | Fast to learn; visual; auditable | Not for production traffic or automation | Anyone evaluating or configuring Bedrock |
| Converse API / SDK | Inference inside your app | Full control; one schema across models | You maintain the integration | App engineers |
| Flows | Chaining multi-step GenAI logic | No orchestration code; versioned | Less flexible than code | Builders who want orchestration without glue code |
| IaC (CloudFormation, CDK, Terraform) | Repeatable, reviewed deployments | Version-controlled and reproducible | More upfront effort | Platform and DevOps teams |
You fill in a short form: what you run today, what you want to move, test or build, your stage and your region.
We read your answers and pick one vetted AWS consulting partner that fits the work, the stack and the region. We reply within 24 hours; your matched partner reaches out within 5 business days.
Your matched partner scopes the test with you. Then it checks whether the test qualifies for POC (proof of concept) funding. A POC can fit whether or not you run on AWS today.
If the work qualifies, the partner files the funding request with AWS. AWS reviews it and decides. The amount depends on the workload.
CloudRoute is free for startups. Partners pay CloudRoute a monthly membership plus 10% of AWS-approved funding.
AWS Activate credits are separate, and you apply for them yourself. Use Activate Founders if no investor backs you. Use Activate Portfolio with the Org ID or invite from your VC, accelerator, incubator or angel group if it is an Activate Provider. A consulting partner cannot apply for Activate on your behalf.
A vetted AWS partner can turn your console prototype into a governed production app (Converse integration, versioned resources, infrastructure as code) and check whether it qualifies for POC, MAP or IW funding: typically $50K to $150K for startups. Depends on the workload; AWS approves. CloudRoute is free for startups.