Relace: Relace Search

Public pricingIntelligence 79/100Large memory

Relace: Relace Search es un modelo texto pensado para programación, ingeniería de software y flujos agénticos. Combina buen rendimiento en programación y uso fiable de herramientas y comportamiento agéntico, un contexto de 256K tokens y un perfil costo equilibrado para trabajar con fiabilidad en programación, ingeniería de software y flujos agénticos.

Input

$1.00/1M

Output

$3.00/1M

Cached

$0.05/1M

Batch

$0.25/1M

Calculate your Relace Search bill.

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What would Relace Search cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Relace Search at a glance.

Memory

256,000

tokens

Max reply

128,000

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

Released

Sep 2025

Training cutoff

Jun 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Relace Search

  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.

FAQ

Relace Search — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Relace Search costs roughly $195 per month. Input is $1.00 /1M tokens and output is $3.00 /1M tokens.
Relace Search has a 256,000-token context window (large memory — an entire book or large codebase). That means you can fit about 48,000 words of input and history in a single call.
Relace Search was released in September 2025, with training data cut off around June 2025.
Models in a similar class include Relace Apply 3, Claude Haiku 4.5, MiMo-V2-Pro. The "Similar models" section below this FAQ links into each.

Still unsure?

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