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Text Generation ModelDeprecated

DeepSeek-V3

DeepSeek-V3 is a text generation model from DeepSeek with a 128,000 token context window and up to 8,000 token responses.

PublisherDeepSeek
TypeText
Context Window128,000 tokens
Replaced byDeepSeek-V3
ProviderDeepInfra
COST EFFECTIVEHIGH QUALITY

General-purpose text generation from DeepSeek

DeepSeek-V3 is a large language model developed by DeepSeek, a Chinese AI company. It is a general-purpose text generation model designed to handle a broad range of tasks including question answering, summarization, coding assistance, and document analysis. The model supports a context window of 128,000 tokens, allowing it to process lengthy documents or extended conversations in a single session.

DeepSeek-V3 uses a Mixture-of-Experts (MoE) architecture, which activates only a subset of its parameters per forward pass, contributing to efficient inference relative to its total parameter count. The model has been tagged as cost-effective and high quality within the MindStudio catalog, reflecting its positioning as a capable model at a competitive price point. It is well suited for developers and teams looking for a general-purpose LLM that can handle complex queries across a variety of domains without requiring specialized fine-tuning.

What DeepSeek-V3 supports

Long Context Processing

Handles up to 128,000 tokens of input in a single session, enabling analysis of long documents, codebases, or extended conversations.

Text Generation

Generates coherent, contextually relevant text across tasks such as summarization, drafting, and question answering, with responses up to 8,000 tokens.

Code Assistance

Supports code generation, explanation, and debugging across multiple programming languages as a general-purpose LLM capability.

Mixture-of-Experts Architecture

Uses a MoE design that activates only a subset of parameters per inference pass, enabling efficient computation at scale.

Cost-Effective Inference

Tagged as cost-effective in the MindStudio catalog, reflecting competitive pricing relative to its context window and output quality.

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Common questions about DeepSeek-V3

What is the context window size for DeepSeek-V3?

DeepSeek-V3 supports a context window of 128,000 tokens, allowing it to process large documents or long multi-turn conversations in a single request.

What is the maximum response size?

The model can generate responses of up to 8,000 tokens per request.

Does DeepSeek-V3 support image or video inputs?

No. Based on the available metadata, DeepSeek-V3 does not support image or video analysis. It is a text-only model.

What is the current status of this model on MindStudio?

DeepSeek-V3 (deepseek-chat-deepinfra) is currently marked as deprecated in the MindStudio catalog. Users should check for a successor or updated version.

Who developed DeepSeek-V3?

DeepSeek-V3 was developed by DeepSeek, a Chinese AI company. On MindStudio, it is served via the DeepInfra provider under the model ID deepseek-ai/DeepSeek-V3.

Parameters & options

Max Temperature2
Max Response Size8,000 tokens

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