Long-running agents deserve better inference.
Subconscious
vs

Amazon Bedrock vs Luminal

Bedrock wraps Claude, GPT and open models in AWS security. Luminal compiles your own open model into faster GPU code, in its cloud or yours.

By The Subconscious Team · Updated

Amazon Bedrock vs Luminal: key differences

Bedrock is a managed catalog of 100+ closed and open models inside an AWS account, with IAM, VPC and AgentCore around it. Third-party analyses put most models 20% to 35% above direct prices. Luminal is not a catalog. It compiles a model you supply into native GPU kernels ahead of time and offers early-access serverless endpoints or an on-prem license with custom kernel work.

Bedrock is the safe pick for AWS shops that want many models with existing controls. Luminal is for teams that want one open model as fast as possible on their own hardware, including inside AWS under the on-prem license. Its reported 36K tokens per second on GPT-OSS 120B over 8 H100s is a vendor number, and pricing is not public.

What Amazon Bedrock and Luminal do

Amazon Bedrock

Amazon Bedrock is AWS's managed model service and has become the default AI control plane for many enterprises. One API reaches 100+ models from 18+ providers, including Anthropic's Claude family, Meta, Mistral, DeepSeek, Amazon's own Nova models, and, since an April 2026 partnership expansion, OpenAI models up to GPT-6 Astra. Switching models is usually just a new model ID. Every call inherits IAM, PrivateLink, KMS encryption and CloudTrail logging, and provider models never train on customer data.

Example models: Claude Opus, GPT-6 Astra

Full Amazon Bedrock profile

Luminal

Luminal builds an inference compiler. Where vLLM and SGLang interpret a model at runtime, Luminal compiles it ahead of time into native kernels for GPUs and ASICs. Models get lowered to a small graph of 15 primitive ops, and the compiler searches over fusion, tiling, memory and scheduling choices instead of relying on hand-written rules, which it says can find optimizations like Flash Attention on its own. The compiler is open source in Rust under Apache 2.0 or MIT, runs on CUDA and Metal with ROCm on the roadmap, and works as a torch.compile backend.

Example models: GPT-OSS 120B, Llama 3 8B

Full Luminal profile

Should you choose Amazon Bedrock or Luminal?

Amazon Bedrock

Choose Amazon Bedrock for

  • Closed and open models inside an AWS security posture
  • Fine-tuning and Custom Model Import
  • One AWS bill and compliance story

Luminal

Choose Luminal for

  • Running an open model faster on your own AWS GPUs
  • Replacing vLLM or TensorRT-LLM with a compiled engine
  • An open-source engine teams can run on their own hardware

Amazon Bedrock vs Luminal at a glance

AttributeAmazon BedrockLuminal
Model accessClosed and open, 100+ modelsBring your own weights
Flagship modelsClaude, GPT-6 Astra, Nova, DeepSeekNo public catalog
SpeedLatency-optimized option on some models36K tok/s on GPT-OSS 120B, 8xH100 (vendor)
Price~20–35% above direct; Claude at parityPay per use; rates not published
CustomizationFine-tuning, Custom Model ImportCompiles any PyTorch or HF model
DeploymentManaged on AWS, AgentCoreServerless (early access), on-prem license
Long contextVaries by modelUnknown

Frequently asked questions

What is the difference between Amazon Bedrock and Luminal?

Bedrock wraps Claude, GPT and open models in AWS security. Luminal compiles your own open model into faster GPU code, in its cloud or yours.

When should I choose Amazon Bedrock over Luminal?

Closed and open models inside an AWS security posture; Fine-tuning and Custom Model Import; One AWS bill and compliance story.

When should I choose Luminal over Amazon Bedrock?

Running an open model faster on your own AWS GPUs; Replacing vLLM or TensorRT-LLM with a compiled engine; An open-source engine teams can run on their own hardware.

Is Amazon Bedrock or Luminal cheaper?

Amazon Bedrock: ~20–35% above direct; Claude at parity. Luminal: Pay per use; rates not published. The cheaper choice depends on the model and workload.

Related comparisons

Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.

Subconscious vs Amazon BedrockSubconscious vs Luminal