Relace: Relace Apply 3

Public pricingIntelligence 79/100Large memory

Relace: Relace Apply 3 es un modelo texto pensado para programación, depuración y trabajo técnico. Combina buen rendimiento en programación, un contexto de 256K tokens y un perfil costo equilibrado para trabajar con fiabilidad en coding, debugging, and technical writing.

Input

$0.85/1M

Output

$1.25/1M

Cached

$0.05/1M

Batch

$0.25/1M

Calculate your Relace Apply 3 bill.

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What would Relace Apply 3 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Relace Apply 3 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 Apply 3

  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.
  • Code generation, review, or refactoring.

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 Apply 3 — 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 Apply 3 costs roughly $114 per month. Input is $0.85 /1M tokens and output is $1.25 /1M tokens.
Relace Apply 3 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 Apply 3 was released in September 2025, with training data cut off around June 2025.
Models in a similar class include Morph V3 Large, GPT-5.4 Mini, Claude Haiku 4.5. The "Similar models" section below this FAQ links into each.

Still unsure?

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