What is the parameter count of DeepSeek V4?

DeepSeek V4 features approximately 1 trillion parameters, utilizing a Mixture-of-Experts (MoE) architecture.

What is the context window limit?

The model supports a context window of up to 1 million tokens.

What is the licensing for DeepSeek V4?

DeepSeek V4 is released under the Apache 2.0 license, making it open and accessible for various uses.

Is DeepSeek V4 multimodal?

Yes, it possesses multimodal capabilities for handling and generating text, images, and video.

How does it compare to Claude Opus?

It aims to achieve comparable performance scores to Claude Opus while being significantly more affordable.

What is Engram memory?

Engram memory is a feature in DeepSeek V4 that provides virtually infinite memory capacity for long-term data retention and recall.

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LLM models

Free

DeepSeek V4

A 1-trillion parameter MoE model with a 1M-token context window and multimodal capabilities. Offers Claude Opus-level performance with significantly lower costs under an Apache 2.0 license.

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Rating

Reviews

Upvotes

5 months ago

Listed

LLM models

Mixture-of-Experts

Multimodal AI

Open Source

Apache 2.0

Text-to-Video

Large Context Window

Engram Memory

AI Agents

Coding Assistant

Tool information

Provider

DeepSeek

Platforms

Web

API

Hugging Face

Languages

English

Chinese

API Available

Yes

Added to directory

5 months ago

Last updated

3 months ago

Rating

Not available

Pricing

Free

About DeepSeek V4

What the tool does and who it's for

DeepSeek V4 is a high-performance Mixture-of-Experts (MoE) model designed to compete with industry leaders like Claude Opus. Boasting approximately 1 trillion parameters, the model is built for massive scale and efficiency. It features a 1M-token context window and utilizes 'virtually infinite' Engram memory, making it highly capable of processing and recalling vast amounts of information. As a multimodal powerhouse, it supports text, image, and video processing. Notably, DeepSeek V4 is positioned as a significantly more affordable alternative to proprietary high-end models and is slated for release under the open-source Apache 2.0 license.

Key capabilities

1 Trillion Parameters: Massive scale architecture using Mixture-of-Experts (MoE) for efficient processing.

1M-Token Context Window: Capable of analyzing and maintaining coherence across extremely long documents or codebases.

Virtually Infinite Engram Memory: Advanced memory retention for long-term consistency in complex tasks.

Multimodal Capabilities: Native support for processing and generating content across text, images, and video.

Apache 2.0 License: Open-source release allowing for high flexibility and integration.

High Cost-Efficiency: Designed to deliver top-tier performance at a significantly lower price point than competitors.

Agentic Performance: Optimized for complex, multi-step reasoning and autonomous agent tasks.

Direct API Access: Available via the DeepSeek platform for developers to build integrated applications.

Pricing

Free — plans below

Free

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FAQ

DeepSeek V4 FAQs

Common questions about DeepSeek V4