Analysis Summary
Relace Search is a text-only model from Relace with tool use and function calling support and a 256K context window. No benchmark data is available, making it impossible to evaluate reasoning quality, coding capability, or instruction-following reliability against the broader field.
For businesses, the lack of benchmarks combined with a relatively high price point ($1.00 input, $3.00 output per million tokens) makes this a difficult proposition compared to well-benchmarked alternatives at lower cost. The tool use and function calling support suggest it may be positioned for search-augmented or agentic workflows, but there is no data to confirm this.
Without performance evidence, adoption carries significant risk. Teams should treat this as an experimental option and run thorough internal evaluations before considering it for any production workflow.
Assessed June 30, 2026
Editorial notes
Relace Search has no benchmark data; tool use and function calling are present, but capability depth cannot be assessed without performance evidence.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Relace Search has no benchmark data; tool use and function calling are present, but capability depth cannot be assessed without performance evidence.
How Relace: Relace Search compares
Its 256K-token context window is larger than 68% of the models we list. At $1.00 per million input tokens it is cheaper than 26% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 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 āPricing
| 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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā 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..
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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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 19, 2026 10:00 am