Relace Apply 3
VerifiedProprietary LLM built for 256k-token text contexts.
About Relace Apply 3
Relace Apply 3 is structured as a proprietary LLM without publicly disclosed parameter counts. Its 256000-token context window enables ingestion of extensive documents or multi-turn conversations in a single pass. The closed-weight design allows Relace to control deployment and optimization.
Strengths center on maintaining coherence across very long text sequences. This capacity reduces the need for chunking or summarization steps common with smaller-context models. Typical usage includes legal review, technical documentation analysis, and large-scale content generation where full context matters.
Capabilities
How Relace Apply 3 compares
Relace Apply 3 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Relace Apply 3 ranks #45 of 63
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Processing full-length research papers or reports
The 256000-token context enables Relace Apply 3 to ingest and reason over complete documents for in-depth analysis without chunking.
Generating summaries of extended transcripts or books
Its extended text summarization and long-context reasoning capabilities produce coherent overviews while preserving key details across very long inputs.
Executing multi-turn instruction chains in large projects
Strong instruction following and natural language understanding support sustained, complex workflows that span thousands of tokens of history.
Strengths & limitations
Strengths
- +Very large 256k token context window
- +Strong focus on text-only tasks
- +Suitable for processing lengthy documents
- +Efficient handling of long-form inputs
Limitations
- –Text modality only with no vision support
- –Typical LLM constraints on factual accuracy
- –Higher compute demands for maximum context
Cost calculator
Estimate what Relace Apply 3 would cost for your usage.
Based on Relace Apply 3's $0.85/1M input · $1.25/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "relace/relace-apply-3",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: relace/relace-apply-3
Editor's verdict
Relace Apply 3 is Relace's proprietary language models with a 256K-token context window.
At $1.25 per 1M output tokens, it is mid-priced for its class.
It is available through Relace's API and aggregators like OpenRouter.
Best suited to very large 256k token context window and strong focus on text-only tasks.
Frequently asked questions
Relace Apply 3 supports a context length of 256000 tokens.
User reviews
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