AWS Bedrock Alternative in India | unoblox

Amazon Bedrock puts Claude, Llama and a handful of other foundation models behind one AWS-managed API — a natural starting point if your infrastructure already lives in AWS. The catch for most Indian teams shows up later: an AWS account, IAM policies, and a bill that settles internationally with no GST invoice built for a single AI line item. unoblox keeps the multi-model idea but drops the AWS scaffolding — one OpenAI-compatible endpoint, one key, billed in rupees.

What AWS Bedrock is genuinely good for

Bedrock's strength is integration: if your team already runs on AWS, calling a foundation model through the same account, the same IAM roles and the same VPC boundary is convenient. Provisioned throughput gives large, steady workloads predictable capacity, and AWS's support contracts extend naturally to cover it. For an enterprise standardised on AWS, that's a real advantage worth acknowledging.

Where Indian teams hit friction

• Setup before the first token. An AWS account, IAM policies scoped to Bedrock, and sometimes a model-access request have to be in place before you can call anything.
• Billing that settles outside India. Bedrock usage lands on your AWS bill, reconciled through AWS's global billing console rather than a domestic GST invoice a finance team can set against input tax credit directly.
• Provisioned throughput is built for scale you may not have yet. It's the right tool for steady, high-volume traffic — an awkward commitment for a team still validating a feature.

unoblox vs AWS Bedrock at a glance

	AWS Bedrock	unoblox
Account needed	AWS account + IAM setup	Single sign-up
Billing	Settles through AWS's international billing	Rupees, one monthly GST invoice
Card required	International card for AWS billing	No international card
Endpoint	Bedrock Runtime API (AWS SDKs)	OpenAI-compatible /v1/chat/completions
Model breadth	Providers available inside Bedrock	GPT, Claude, DeepSeek, Qwen, Llama, Gemma, Kimi and more, one key

The same model families, priced in rupees

Model	Input ₹ / 1M tokens	Output ₹ / 1M tokens
Claude Opus	₹504	₹2,520
Claude Sonnet	₹201.6	₹1,008
Llama 4 Maverick	₹20.16	₹80.64
Llama 4 Scout	₹10.08	₹30.24

Rates for any model not listed here are shown live on its own page — check /models before committing a production workload.

Switching over takes one line, not a migration

base_url: https://api.unoblox.ai/v1
api_key: ub-gw-xxxxxxxxxxxxxxxxxxxx
model: meta-llama/llama-4-scout-17b-16e-instruct

There's no AWS SDK to learn — point the OpenAI client you already have at the base URL above, swap the model name, and the request/response shape, streaming and tool calls all work unchanged.

Frequently asked questions

Does unoblox give me the exact same models as AWS Bedrock? Not a resale of Bedrock itself, but there's real overlap — Claude and Llama families are both available on unoblox, alongside GPT, DeepSeek, Qwen, Gemma and Kimi that Bedrock doesn't carry. Check /models for the current list.

Do I need an AWS account to use unoblox? No. unoblox is a standalone gateway — sign up, get a key, and call the endpoint directly.

Is billing really in rupees with a proper invoice? Yes — usage across every model rolls into one monthly GST invoice from an Indian entity, claimable as input tax credit like any other business expense.

Is my data processed in India if I call Claude or Llama through unoblox? No. Inference for these models still runs on the underlying provider's infrastructure, the same as calling them directly. unoblox's India benefit is the rupee billing, GST invoice and single endpoint — not data residency.

What if the model I want isn't in the pricing table above? Its live rate is on its own model page — see /models rather than assuming a number.

Get started in rupees → https://unoblox.ai/sign-in