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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 multi-step reasoning to produce highly precise results 4x faster than any frontier model. It's designed to serve as a subagent that passes its findings to an "oracle" coding agent, who orchestrates/performs the rest of the coding task. To use relace-search you need to build an appropriate agent harness, and parse the response for relevant information to hand off to the oracle. Read more about it in the [Relace documentation](https://docs.relace.ai/docs/fast-agentic-search/agent).
Price/1M
$1.50
521st cheapest
384% above median
Top 77%
Context Window
256K
91st largest
Top 29%
Input
$1.00
per 1M tokens
Output
$3.00
per 1M tokens
Blended
$1.50
per 1M tokens
Cheaper than 23% of models. Median price is $0.31/1M tokens.
Daily
$1.50
Monthly
$45.00
Context Window
256K
tokens
Larger than 71% of models
Max Output
128K
tokens
50% of context
Context Window Comparison