Model comparison
Relace Search vs GPT-5
Capability radar, value bars, and side-by-side posture.
Relace Search
Not scored
value score
GPT-5
94
value score
Relace Search ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | Relace Search | GPT-5 |
|---|---|---|
| Developer | Relace | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | Relace Search is a codebase search subagent model that explores repositories using multiple parallel file-read and grep tool calls, then returns the most relevant files or code context for downstream coding agents. It is purpose-built for agentic multi-step repository exploration rather than general-purpose chat or standard RAG retrieval. | OpenAI frontier multimodal model. |