Orbit/Models/DeepSeek-V3

DeepSeek-V3

open
Context
128K tokens
Input
$0.27/M
Output
$1.1/M
License
MIT
Released
Dec 2024

Overview

DeepSeek-V3 is a large language model developed by DeepSeek, a Chinese AI company, and released in December 2024. It employs a 671-billion parameter mixture-of-experts (MoE) architecture, activating 37 billion parameters per token, which enhances efficiency and reduces operational costs compared to dense models of similar size. The model supports a context window of 128,000 tokens, enabling it to process and generate extensive text sequences effectively. DeepSeek-V3 is designed to excel in tasks such as coding, reasoning, and tool usage. Its open-source nature, under the MIT License, allows for broad adoption and integration across various applications. The model's performance is competitive, with benchmark scores like 90.0% on HumanEval for Python coding tasks and 88.5% on MMLU-Pro, indicating strong capabilities in both coding and general knowledge tasks. Its pricing structure is also favorable, with input tokens priced at $0.27 per million and output tokens at $1.10 per million, offering a cost-effective solution for developers and organizations. In comparison to its peers, DeepSeek-V3 offers a balanced trade-off between performance and cost. While models like OpenAI's GPT-5.4 and Anthropic's Claude Opus 4.6 may offer higher performance, they come with significantly higher costs. DeepSeek-V3's efficient architecture and competitive pricing make it an attractive option for a wide range of applications, from software development to complex reasoning tasks.

Strengths

codingreasoningtool use

Benchmarks

HumanEvalcoding90 / 100
MMLU-Proknowledge88.5 / 100