You built on OpenAI. Now you need production-grade security, lower inference costs, and the flexibility to swap models without rewriting your stack. Avahi’s cloud migration services get you there.
Two different teams land on this page, and Amazon Bedrock now serves both.
Some organizations want to migrate from OpenAI to Bedrock-native models like Claude and Amazon Nova for lower costs and greater flexibility. Others want to keep using OpenAI models while running them inside AWS for security, compliance, and consolidated billing.
Since June 1, 2026, OpenAI’s latest frontier models, including GPT-5.5 and GPT-5.4, have been generally available on Amazon Bedrock at the same pricing as OpenAI’s direct API, with usage counting toward existing AWS commitments.
Our AI Comparison Tool instantly shows model, latency, and pricing differences across OpenAI, Claude, Nova, and other Bedrock models so you can make data-driven decisions.
Bedrock-native models, Savings Plans, and provisioned throughput can significantly reduce inference costs while keeping your AI workloads inside AWS. We benchmark your actual prompts first, so the number is yours, not a generic claim.
Run OpenAI on Amazon Bedrock today, switch to Claude, Nova, or other foundation models tomorrow, and avoid costly code rewrites.
The cost case depends on your workload. Switching to Bedrock-native models is where the largest savings typically come from, through right-sized model selection, Savings Plans, and provisioned throughput rather than a like-for-like swap.
Keeping OpenAI models on Bedrock is cost-neutral on list price but pays back through commit credits, consolidated billing, and the engineering time you stop spending on a second vendor’s security review.
Before any migration, we benchmark your actual prompts and volumes through our AI Comparison Tool so the decision is made on your numbers, not ours.
Our published Bedrock foundational models case study shows the benchmarking method in practice.
If your stack runs on Google instead, the same playbook applies through our Gemini to Bedrock migration service.
| Dimension | OpenAI Direct API | Amazon Bedrock |
|---|---|---|
| Model choice | OpenAI models only | OpenAI frontier models plus Claude, Amazon Nova, Llama, Mistral, and more, swappable without re-architecting |
| Security and isolation | Public API endpoint | Runs inside your AWS environment with VPC endpoints via PrivateLink; data never crosses the public internet |
| Identity and audit | API keys | IAM policies, CloudTrail audit logs, KMS encryption |
| Compliance | OpenAI's certifications | Inherits your existing AWS compliance posture (HIPAA, SOC 2, PCI scopes you already operate) |
| Billing | Separate vendor invoice | Consolidated AWS billing; usage counts toward AWS spend commitments |
| Pricing | OpenAI list pricing | Bedrock-native models priced per model; OpenAI models on Bedrock match OpenAI's direct rates |
| Lock-in | Single-vendor API | One API surface across model providers; switching models is a configuration change |
| Guardrails and governance | Build your own | Bedrock Guardrails, model evaluation, and provisioned throughput built in |
Audit current OpenAI usage, map prompts and parameters, identify target Bedrock models, and design the VPC, IAM, and encryption architecture. You get a benchmark report and a fixed migration plan.
Translate prompts, adapt parameters, and benchmark outputs against your current production results using the AI Comparison Tool. If you're keeping OpenAI models on Amazon Bedrock, this phase focuses on API mapping rather than model replacement.
A staging environment mirrors production. We verify performance, security, and guardrails, then stage a blue-green deployment so cutover risk is engineered out before launch day.
Production switch, runbooks, and team enablement. Optional AWS managed services keep the environment tuned after handover.
We don’t quote a savings number until we’ve run your actual prompts and volumes through our AI Comparison Tool. You get a side-by-side report of cost and latency for each candidate Bedrock model, measured on your data, before you commit to anything.
That benchmarking routinely surfaces meaningful inference-cost reductions alongside lower latency, with the exact figure depending on model selection, traffic patterns, and how aggressively you commit to Savings Plans or provisioned throughput. You see the number before you commit, not after.
See the benchmarking method in our Bedrock foundational models case study
VP Product, FinSecure
75 plus GPT workloads converted to Bedrock
93 percent of clients hit or beat projected savings within two months
Rising OpenAI fees and strict PHI data controls
AI Comparison Tool validated Claude Instant as best fit, Avahi converted 600 prompts, and deployed Bedrock with VPC endpoints
Cost per call down 45 percent, median latency down 28 percent, HIPAA audit passed first try
12-second GPT-4 responses and rising API fees were stalling live-stream engagement and squeezing margins.
Avahi’s AI Comparison Tool benchmarked GPT-4 vs. Claude 3, auto-translated 120 prompts, and executed a blue-green cutover to Bedrock, production-ready in 6 weeks
80 % faster replies (12 s ➜ 2.5 s simple / 7 s complex)
45 % lower inference spend via Savings Plans & right-sized GPUs
Average session length +22 % as lag disappeared
Bedrock orchestration lets Groopview swap models (Claude, Titan) in minutes
AWS Premier Tier Services Partner.
The highest AWS partner tier, paired with our AWS consulting and AI strategy practice.
Six AWS Competencies.
Generative AI, SMB, Healthcare, Migration, DevOps, and MSP.
Benchmarks before promises.
The AI Comparison Tool tests your prompts on candidate models before you commit to anything.
Procurement-ready.
At Avahi, our OpenAI-to-Bedrock migration service is listed on AWS Marketplace, so it can run through your existing AWS procurement and billing.
Fast average delivery timeline.
Scoped during assessment, committed before contract.
Funded for eligible companies.
Eligible companies may receive a funded migration assessment and PoC depending on the project. Eligibility is assessed during the discovery call.
Yes. OpenAI's frontier models have been generally available on Amazon Bedrock since June 1, 2026. You can run them inside your AWS environment with full IAM, CloudTrail, and encryption controls, at the same pricing as OpenAI's direct API.
Savings depend on model selection and volume. Switching to Bedrock-native models is typically where the largest reductions come from, while teams keeping OpenAI models on Bedrock pay the same list rates but benefit from consolidated AWS billing and usage that counts toward existing AWS commitments. We benchmark your workload through our AI Comparison Tool before quoting a number.
Most migrations complete in weeks, depending on prompt volume and complexity. At Avahi, our phased approach minimizes disruption with blue-green deployments.
We benchmark every prompt against your current outputs before cutover. If switching models (for example, GPT to Claude), we tune prompts to match or improve output fidelity.
All processing stays inside your AWS account. Bedrock integrates with VPC endpoints, KMS encryption, and IAM policies. No data leaves your environment.
Blue-green deployments allow instant rollback with zero user impact. Avahi provides post-migration support and optional managed services.
Bedrock offers OpenAI-compatible API access, and the new OpenAI frontier models are served through Bedrock's Responses API, so many applications migrate with minimal code changes. Avahi handles the API mapping and parameter adaptation.
Avahi is an AWS Premier Tier Services Partner with six AWS Competencies. We benchmark your workload on candidate Bedrock models before any commitment, deliver in weeks, and eligible companies may receive a funded assessment depending on the project.
Yes. Run unlimited comparisons during discovery to model savings and performance.
We fine-tune and test each prompt to match or improve output fidelity before going live.
All processing stays inside your AWS account with encryption at rest and in transit plus least-privilege IAM.
Blue-green deployments allow instant rollback with no user impact.
