Relace Search

The relace-search model uses 4-12 view_file and grep tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic…

Context
256K
Max output
128K
Input
$1
Output
$3
DECISION SUMMARY

Recommended use cases

Strengths in this dataset

  • 256,000-token context window
  • text input
  • 8 supported API parameters listed

Limits and caveats

  • Provider behavior and pricing can change; verify the linked sources before production use.
CAPABILITIES

Capability

Model-native facts

Model
Reasoning
Unknown
Open weights
Unknown

Provider endpoint facts

Provider endpoint
Tool calling
Supported
Structured output
Supported
Streaming
Unknown
Prompt cache
Unknown
Batch
Unknown
Fine-tuning
Unknown
PROVIDER PRICING

Relace Search Provider pricing

Provider endpoint: relace/relace-search

Input
$1
per 1M tokens
Output
$3
per 1M tokens
Cached input
Unknown
per 1M tokens
Image output
Unknown
per 1M tokens
SOURCE RECORDS

Sources and verification

OpenRouter Models API

Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters

MODEL FAQ

Frequently asked questions

Answers are generated from the same sourced model and provider facts shown above.

The relace-search model uses 4-12 view_file and grep tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic…

Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.