relace
Relace: Relace Search
relace/relace-search
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, relace/relace-search (canonical ID relace/relace-search-20251208) is a text-to-text model from Relace specialized in codebase exploration. The catalog description says it runs 4-12 view_file and grep tool calls in parallel to locate and return files relevant to a user request, framing this as an agentic retrieval approach rather than conventional RAG. It is listed with a 256,000-token context window and support for standard parameters including tools, tool_choice, temperature, seed, and response_format. No independent model card was available in this source pack, so capabilities beyond the catalog description remain unverified.[1]
Strengths
- Catalog-reported specialization in code search: parallel view_file and grep tool calls to surface relevant files, which may suit retrieval steps inside coding agents.[1]
- Listed 256,000-token context window, potentially useful for fitting large repository snippets or tool outputs into a single request.[1]
- Supports tool calling, response_format, seed, and other common generation parameters per the OpenRouter listing.[1]
Limitations
- Evidence is catalog-only: no independent model card, benchmark data, or usage measurements were supplied, so real-world performance and reliability are unverified.[1]
- Knowledge cutoff, license terms, and hardware requirements are not stated in the source; teams should validate behavior on their own workloads before adoption.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Relace: Relace SearchSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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...
Specifications
- Model ID
- relace/relace-search
- Canonical ID
- relace/relace-search-20251208
- Creator
- relace
- Added to OpenRouter
- 08.12.2025
- Context length
- 256,000
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $1 / out $3
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | parameters: tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Relacebf16 | 256,000 | $1 | $3 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.