vs
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
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 hosts only a handful of open models, and its apply model 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 up to Fable 5.1, Meta, Mistral, DeepSeek, xAI's Grok, Amazon's own Nova models, and, since a June 2026 launch under an expanded partnership, OpenAI models including the full GPT-6 family from Astra to Luna. 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 Fable 5.1, GPT-6 Astra
Full Amazon Bedrock profileRelace
Relace started out training small, fast models that act as tools for coding agents, and by October 2026 its homepage led with open-model inference instead. It says it served 30 trillion tokens in the 30 days to late October and ranks among the top providers on OpenRouter. The hosted catalog covers DeepSeek V4 Pro, V4 Flash and V4.1 Flash, Kimi K3, GLM 5.3, GLM 5.3 Flash and GLM 5.2 over OpenAI and Anthropic compatible APIs, billed per token with no subscription. Prices run from $0.07 in and $0.14 out per million tokens on DeepSeek V4 Flash to $2.00 in and $14.00 out on Kimi K3, and Relace says it reprices often.
Example models: DeepSeek V4.1 Flash, Kimi K3, GLM 5.3, relace-apply-3
Full Relace profileShould 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 | Open weights, plus specialist coding models |
| Flagship models | Claude, GPT-6 Astra, Nova, DeepSeek | DeepSeek V4.1 Flash, Kimi K3, GLM 5.3, relace-apply-3 |
| Speed | Latency-optimized option on some models | ~10,000 tok/s apply |
| Price | ~20–35% above direct; Claude and GPT at parity | $0.07 in, $0.50 out (DeepSeek V4.1 Flash) |
| Customization | Fine-tuning, Custom Model Import | Unknown |
| Deployment | Managed on AWS, AgentCore | Hosted API, OpenRouter or self-hosted |
| Long context | Varies by model | 128K on apply; varies by open model |
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 and GPT at parity. Relace: $0.07 in, $0.50 out (DeepSeek V4.1 Flash). The cheaper choice depends on the model and workload.
Which has more context, Amazon Bedrock or Relace?
Amazon Bedrock: Varies by model. Relace: 128K on apply; varies by open model.
Related comparisons
Subconscious vs Amazon Bedrock
OpenAI vs Amazon Bedrock
Anthropic vs Amazon Bedrock
Google Vertex AI vs Amazon Bedrock
Amazon Bedrock vs Together AI
Amazon Bedrock vs Fireworks AI- Subconscious vs Relace
- OpenAI vs Relace
- Anthropic vs Relace
- Google Vertex AI vs Relace
- Together AI vs Relace
- Fireworks AI vs Relace
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.