Amazon Bedrock vs Relace

Relace sells small, fast models for coding-agent chores: apply, search and compaction, hosted or self-hosted. Bedrock supplies the governed frontier models those agents think with.

By The Subconscious Team · Updated September 30, 2026

Amazon Bedrock vs Relace: key differences

Relace makes utility models for coding agents. relace-apply-3 merges lazy edits at about 10,000 tokens per second with 128K tokens of input and output, its agentic search explores large codebases in parallel, and a compaction model runs at 50,000 tokens per second. Relace argues that small specialized models beat frontier LLMs on these tasks while cutting cost. Bedrock carries those frontier LLMs, including Claude and GPT, inside AWS's security posture, and it does not position itself as a specialist apply tool.

They stack. A coding agent on Bedrock can hand merges and repo search to Relace, keeping expensive tokens for planning. Relace's self-hosted option helps enterprises that keep code in-house, which pairs well with Bedrock's PrivateLink and KMS controls on the model side. The gaps: Relace has no general-purpose model serving and returns an error past 128K tokens, so very large files need a fallback. Bedrock's trade-off is price, with most models 20 to 35% above direct.

What Amazon Bedrock and Relace 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

Relace

Relace trains small, fast models that act as tools for coding agents. Its best-known product is Instant Apply: a frontier model writes a lazy edit snippet, and relace-apply-3 merges it into the original file at about 10,000 tokens per second with 128K tokens of input and output. Relace says this runs over 3x faster and cheaper than having the big model rewrite the file. It exposes both a REST endpoint and an OpenAI-compatible one, and the model is also listed on OpenRouter.

Example models: relace-apply-3, Relace agentic search

Full Relace profile

Should you choose Amazon Bedrock or Relace?

Amazon Bedrock

Choose Amazon Bedrock for

The main reasoning model under AWS controls.
Governed agents with memory and policy.
Fallback models for files past 128K tokens.

Relace

Choose Relace for

Instant apply at about 10,000 tokens per second.
Fast agentic search across large repos.
Self-hosted coding utilities.

Amazon Bedrock vs Relace at a glance

Attribute	Amazon Bedrock	Relace
Model access	Closed and open, 100+ models	Specialist models
Flagship models	Claude, GPT-6 Astra, Nova, DeepSeek	relace-apply-3, agentic search
Speed	Latency-optimized option on some models	~10,000 tok/s apply
Price	~20–35% above direct; Claude at parity	3x+ cheaper than full rewrites
Customization	Fine-tuning, Custom Model Import	Unknown
Deployment	Managed on AWS, AgentCore	Hosted API or self-hosted
Long context	Varies by model	128K max

Frequently asked questions

What is the difference between Amazon Bedrock and Relace?

Relace sells small, fast models for coding-agent chores: apply, search and compaction, hosted or self-hosted. Bedrock supplies the governed frontier models those agents think with.

When should I choose Amazon Bedrock over Relace?

The main reasoning model under AWS controls; Governed agents with memory and policy; Fallback models for files past 128K tokens.

When should I choose Relace over Amazon Bedrock?

Instant apply at about 10,000 tokens per second; Fast agentic search across large repos; Self-hosted coding utilities.

Is Amazon Bedrock or Relace cheaper?

Amazon Bedrock: ~20–35% above direct; Claude at parity. Relace: 3x+ cheaper than full rewrites. The cheaper choice depends on the model and workload.

Which has more context, Amazon Bedrock or Relace?

Amazon Bedrock: Varies by model. Relace: 128K max.

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 Bedrock Subconscious vs Relace