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INTELLECT-3

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Prime-intellect's closed LLM handles extended text contexts with precision.

Prime-intellectLanguage ModelsClosed
Model page
Updated 2026-06-14

About INTELLECT-3

INTELLECT-3 is built as a proprietary LLM focused on text modality. Its 131072-token context window enables ingestion of lengthy documents while preserving narrative flow. Prime-intellect maintains full control over the weights and training pipeline.

The architecture prioritizes stable performance across extended sequences without requiring users to manage open-source deployment. Typical usage includes research analysis, content synthesis, and enterprise workflows where data confidentiality matters. Organizations select it when closed-source guarantees and large context capacity align with operational needs.

Capabilities

Long-context reasoning
Text generation
Document analysis
Complex instruction following
Multi-turn conversation

How INTELLECT-3 compares

INTELLECT-3 (striped bar) vs other language models on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · INTELLECT-3 ranks #47 of 72

$0.95
DeepSeek V3.1 Terminus
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MiniMax M2.1
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Qwen3 Coder Flash
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MiniMax M2
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MiniMax M2.7
$1.1
Qwen3 Next 80B A3B Instruct
$1.1
INTELLECT-3
$1.2
KAT-Coder-Pro V2
$1.2
MiniMax M2-her
$1.3
Relace Apply 3
$1.3
Cogito v2.1 671B
$1.4
Aion-1.0-Mini
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Aion-2.0

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long-document legal review

The model processes full contracts or case files within its 131072-token context to identify inconsistencies and summarize obligations while following detailed review instructions.

Extended technical tutoring sessions

It maintains coherent multi-turn dialogue on complex subjects such as algorithm design or scientific explanations, adapting responses based on prior exchanges.

Comprehensive research report generation

Using long-context reasoning and document analysis, the model synthesizes information from multiple sources into structured reports that adhere to precise formatting and content guidelines.

Strengths & limitations

Strengths

  • +Strong handling of extended inputs
  • +Flexible text-based tasks
  • +Suitable for detailed reasoning chains

Limitations

  • Text modality only
  • No vision or multimodal capabilities
  • Performance depends on prompt engineering

Cost calculator

Estimate what INTELLECT-3 would cost for your usage.

$0.00075
per request
$7.5
estimated / month

Based on INTELLECT-3's $0.20/1M input · $1.10/1M 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.

JavaScript · openai
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: "prime-intellect/intellect-3",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: prime-intellect/intellect-3

Editor's verdict

Our take on INTELLECT-3

INTELLECT-3 is Prime-intellect's proprietary language models with a 131K-token context window.

At $1.10 per 1M output tokens, it is mid-priced for its class.

It is available through Prime-intellect's API and aggregators like OpenRouter.

Best suited to strong handling of extended inputs and flexible text-based tasks.

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Frequently asked questions

The model supports a context window of 131072 tokens.

User reviews

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