Model Cost Profile

Relace: Relace Apply 3

Developer: relace

Pricing updated Mar 11, 2026

Input rank: #236Output rank: #194

Live Pricing

Input: $0.8500

Output: $1.25

Pricing via OpenRouter API · Last synced Mar 11, 2026

Relace Apply 3, developed by relace, offers an extensive context window of 256,000 tokens, making it suitable for applications requiring deep contextual understanding, such as legal document analysis and long-form content generation. With an input price of $0.85 per 1 million tokens and an output price of $1.25 per 1 million tokens, teams can effectively budget for high-volume processing tasks while optimizing costs for large datasets. This model is particularly beneficial for enterprises that need to manage complex queries or large-scale text generation without sacrificing performance or accuracy.

Context Window

256,000

Tokens

Input Price / 1M

$0.8500

Prompt tokens

Output Price / 1M

$1.25

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Relace: Relace Apply 3 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7Mar 11
$0.8500$1.05$1.25Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.8500

Current Output / 1M

$1.25

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Relace: Relace Apply 3.

How much does Relace: Relace Apply 3 cost per 1M input tokens?

Relace: Relace Apply 3 input pricing is $0.8500 per 1M tokens based on the latest synced provider data.

How much does Relace: Relace Apply 3 cost per 1M output tokens?

Relace: Relace Apply 3 output pricing is $1.25 per 1M tokens based on the latest synced provider data.

What context window does Relace: Relace Apply 3 support?

Relace: Relace Apply 3 supports a context window of 256,000 tokens.

How can I compare Relace: Relace Apply 3 with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.