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Dec 26, 2024
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DeepSeek-V3

LLM

Open-weight Mixture-of-Experts language model with 671B total parameters (37B activated per token), developed by DeepSeek AI and released in December 2024.

Available on

Technical specification

Context window
0K
Parameters
671B total, 37B activated
Max output
0K
License
DeepSeek License v1.0
Tools
Yes
Fine-tuning
Yes
Weights access
Open weights
Knowledge cutoff
Jul 2024
Last updated: May 3, 2026

Modalities

Input
Text
Output
Text
Code
Structured data
summaries
reports

Capabilities

9

Reasoning

Reasoning

Multi-step reasoning

Reasoning

Long context

Reasoning

Coding

Coding

Function Calling

Planning

Structured output

Structured gen.

Multilingual

Language

Planning

Planning

Streaming output

Reasoning

Architecture and technologies

Applications

Pricing

PublicUSDper 1M tokens

Prices refer to the current DeepSeek API (model deepseek-chat = DeepSeek-V3.2 via API from December 2025). Original DeepSeek-V3 prices at launch: input cache hit $0.07/1M, input cache miss $0.27/1M, output $1.10/1M (historical prices). The current API uses V3.2.

Pricing · Calculator
Token volume10K

INPUT

$0.2700 / per 1M tokens

$0.00270

OUTPUT

$1.1000 / per 1M tokens

$0.0110

CACHE

$0.0700 / per 1M tokens

$0.00070

TOTAL

for 10K tokens

$0.0137
All plans1
TextStandard/ per 1M tokens
Input$0.2700
Cache$0.0700
Output$1.1000

Historical pricing for DeepSeek-V3 (launched December 2024). Cache hit = $0.07/MTok, cache miss = $0.27/MTok, output = $1.10/MTok.

DeepSeek API obsługuje kontekstowe cachowanie (context caching). Wagi modelu dostępne bezpłatnie na Hugging Face i GitHub do samodzielnego wdrożenia. Ceny podane dla oryginalnej wersji DeepSeek-V3 (XII 2024); aktualne API deepseek-chat wskazuje na DeepSeek-V3.2.