LLM Reference

Relace Search

Released
2026-01-01
Last refreshed
2026-05-19
Status
Researched 23d ago
ProprietaryCommercial use with conditionsCodingRAGAgentsLong contextJSON / Tool use

Relace Search has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating coding, rag, and agents
  • Workloads that can use a 256k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Teams that need a tracked hosted API route today
Specifications
Family
Relace
Released
2026-01-01
Context
256k
Architecture
Decoder Only
Specialization
code
Openness
Proprietary
License
ProprietaryCommercial use with conditions
Training
pretrained
Created by

Relace develops specialized LLMs for codebase exploration and code-patching, including Relace Search and Relace Apply.

Website
Pricing

No tracked provider token pricing is available yet.

About

Relace Search uses parallel file view and grep tools to explore a codebase and return relevant file sections with 256K context, specialized for AI coding agent pipelines.

Relace Search is a proprietary model in the Relace family. The structured metadata tracks a 256k-token context window, tool use, and code execution. No headline benchmark score is tracked for Relace Search yet.

Top use-case fit: coding, agents, and build tasks

Coding

Included by capability and metadata signals in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

Tool UseCode Execution

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.