Bedrock is the bigger platform by every measure of scale. The question worth answering is not which is larger but whether your unit of control is a model or a client.
We wrote this, so treat it accordingly. Every claim about Amazon Bedrock comes from their own documentation, checked October 2026, and 3 of the 8 rows below favour them — including the two that most often decide an enterprise evaluation. Where their product is the right answer, the section further down says so plainly.
| Dimension | Amazon Bedrock | Planverity | Favours |
|---|---|---|---|
| Model catalogue | Hundreds of models from 18 providers, across 33 commercial regions. | 19 models across 6 providers — Anthropic, OpenAI, Gemini, DeepSeek, Z.ai and Ollama — each priced and benchmarked. | Their advantage |
| Provider independence | AWS-native. Models are consumed through Bedrock, in AWS regions, under AWS billing. | Calls providers directly, including self-hosted Ollama. No cloud dependency, and your provider bills you under your own agreement. | Our advantage |
| Certifications | The full AWS compliance programme — SOC, ISO, HIPAA, FedRAMP and more. | None. We hold no certification and make no certification claim. | Their advantage |
| Guardrails | A separate, metered product: content and topic filters billed per 1,000 text units, PII detection and contextual grounding priced separately. | Policy is the gateway, not an add-on. Model, region, tool and spend constraints evaluate on every request at no extra charge. | Our advantage |
| Routing across models | Routing is available, but provisioned throughput is purchased per model, which suits steady predictable load better than dynamic selection. | Every request is planned independently: the cheapest model that clears your quality floor, with fallback on retryable failure. | Our advantage |
| Many clients or teams | Separation is expressed through AWS accounts, IAM and tagging — infrastructure primitives applied to an AI problem. | The client organisation is the product primitive: its own policy, budget, approved models, statement and a read-only login for the client. | Our advantage |
| Cost predictability | Five billing modes. Analyses of large Bedrock estates commonly report spend landing well above initial estimates. | Spend caps are reservations taken before the call, priced at your max_tokens ceiling, enforced under concurrency. | Our advantage |
| Maturity | Generally available, at scale, with enterprise support and procurement paths. | Limited beta. Two executions in the last thirty days, and we will not pretend otherwise. | Their advantage |
Sources, checked October 2026: Amazon Bedrock pricing · Amazon Bedrock Guardrails
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