Relace: Relace Search
Analysis Summary
Relace Search is a text model with a 256,000-token context window, tool use, and function calling. The available record contains no benchmark results for reasoning, coding, instruction following, or agentic reliability, so its effectiveness as a search component cannot be inferred beyond the listed integration features.
Its apparent fit is narrow: retrieval orchestration, search-result processing, and workflows that need large context plus function calls. Teams should test relevance, citation behaviour, latency, and recovery from failed or ambiguous searches before using it with client data. The listed input and output prices are relatively high without supporting capability measurements. Adopt it only when search integration is the core requirement and task-level evaluations demonstrate an advantage.
Assessed August 9, 2026
Editorial notes
Relace Search offers a 256K context window, tool use, and function calling for retrieval-oriented workflows. It has no supplied benchmark evidence and carries premium pricing, so production use should be limited to validated search tasks.
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DFO Verdict
Relace Search offers a 256K context window, tool use, and function calling for retrieval-oriented workflows. It has no supplied benchmark evidence and carries premium pricing, so production use should be limited to validated search tasks.
How Relace: Relace Search compares
Its 256K-token context window is larger than 59% of the models we list. At $1.00 per million input tokens it is cheaper than 27% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.00 | $0.001000 |
| Output | $3.00 | $0.003000 |
What would Relace: Relace Search cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Relace: Relace Search for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Relace: Relace Search
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..
Frequently asked questions about Relace: Relace Search
How much does Relace: Relace Search cost?
Relace: Relace Search costs $1.00 per million input tokens and $3.00 per million output tokens.
What is the context window of Relace: Relace Search?
Relace: Relace Search has a context window of 256,000 tokens (256K).
What can Relace: Relace Search do?
Relace: Relace Search supports tool use and function calling.
Who created Relace: Relace Search?
Relace: Relace Search is developed by Relace and was released on December 8, 2025.