Relace: Relace Search
Relace • LLM
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
Context Window
256K tokens
Input Price/1M
$1.00
Output Price/1M
$3.00
Parameters
—
Max Output
128K tokens
Information
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Relace: Relace Search
What is Relace: Relace Search?
Relace: Relace Search is an AI model developed by Relace, classified as a large language model (LLM). It focuses on text processing and natural language generation. As a proprietary model, it is available via Relace's cloud API. With a context window of 256K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Relace: Relace Search is usage-based, priced at $1/1M input tokens and $3/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
We don't have detailed benchmark results for Relace: Relace Search yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Relace: Relace Search is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Relace: Relace Search competes directly with similarly capable models. Relace competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is 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...
How much does Relace: Relace Search cost?
Relace: Relace Search costs $1/1M input tokens and $3/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Relace: Relace Search compare with other models?
We don't have detailed benchmarks for Relace: Relace Search yet. Check the main benchmark page to compare available models.
Is Relace: Relace Search open source?
No, Relace: Relace Search is a proprietary model from Relace. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Relace: Relace Search best for?
Relace: Relace Search excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: May 24, 2026 • View methodology →