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Favicon for relace

Relace: Relace Search

relace/relace-search

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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 documentationOpens in new tab.

Modalities
In / Out Price
$1 / $3per 1M
Context
256K
Released
Dec 8, 2025
Compare
ProvidersPricingPerformanceUptimeAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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AI Model RankingsRanking
$1.00$3.000.51s5 tps
100.00%
Throughput
5tok/s

P50, best across providers

Latency
0.51s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.92%

Availability over the last 3 days

Last 72 hours
Availability 99.92%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.92%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

1.
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pi
There are many coding agents, but this one is yours.
8.24Mtokens
2.
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Cline
Cline is an open-source AI coding agent that lives inside your IDE, autonomously exploring your codebase, editing files, running terminal commands, and using browser automation.
630Ktokens
3.
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undefined
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557Ktokens
4.
Favicon for https://deep-search.app/
Deep Search Engine
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554Ktokens
5.
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SillyTavern
SillyTavern is the LLM frontend for power users, a chat interface that connects to any model and gives deep control through character creation, roleplay, and prompt customization.
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Frequently asked questions

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.

Relace Search costs $1.00/M input tokens and $3.00/M output tokens.

Relace Search has a 256,000 token context window. It supports up to 128,000 completion tokens.

Yes. Relace Search accepts tools and tool_choice for function calling. It supports response_format for JSON output, without JSON-schema enforcement.

Relace Apply 3 is another text model from Relace.

Relace Search was released on December 8, 2025.

More models from relace

Relace Apply 3

Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at 10,000 tokens/sec on average.

The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update>

Zero Data Retention is enabled for Relace. Learn more about this model in their documentation

Text256K context$0.85 / $1.25