Author's Description
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).
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
The Relace Search model, designed for agentic multi-step reasoning in codebase exploration, demonstrates competitive response times, ranking in the 51st percentile for speed. Its pricing is moderate, placing it in the 34th percentile. A standout feature is its exceptional reliability, achieving a 96% success rate, indicating minimal technical failures and consistent provision of usable responses. In terms of performance across benchmarks, Relace Search exhibits a notable strength in Coding, achieving 91.0% accuracy (72nd percentile), suggesting proficiency in programming-related tasks. Its Reasoning capabilities are also solid at 66.0% accuracy (49th percentile). However, the model shows weaknesses in General Knowledge (79.9% accuracy, 22nd percentile) and Email Classification (91.0% accuracy, 17th percentile). Its performance on the Hallucinations benchmark, with 88.0% accuracy, indicates some room for improvement in acknowledging uncertainty. The model's Instruction Following is average at 53.0% accuracy (52nd percentile). Overall, Relace Search is a highly reliable tool particularly effective for coding-related search tasks, though its general knowledge and classification accuracy could be enhanced.
Model Pricing
Current Pricing
| Feature | Price (per 1M tokens) |
|---|---|
| Prompt | $1 |
| Completion | $3 |
Price History
Available Endpoints
| Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
|---|---|---|---|---|
|
Relace
|
Relace | relace/relace-search-20251208 | 256K | $1 / 1M tokens | $3 / 1M tokens |
Benchmark Results
| Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
|---|
Other Models by relace
|
|
Released | Params | Context |
|
Speed | Ability | Cost |
|---|---|---|---|---|---|---|---|
| Relace: Relace Apply 3 | Sep 26, 2025 | — | 256K |
Text input
Text output
|
— | — | $$$$ |