Relace: Relace Apply 3

Public pricingIntelligence 79/100Large memory

Relace: Relace Apply 3 è un modello testo pensato per programmazione, debug e lavoro tecnico. Unisce ottime prestazioni nel coding, un contesto di 256K tokens e un profilo a costo equilibrato per un lavoro affidabile in 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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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.

Alternatives

Similar models to compare.

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.

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