Skip to content

DeepSeek V3 0324

DeepSeek V3 0324 is DeepSeek's open-source 671B Mixture-of-Experts language model released December 26, 2024. It achieves 3x the inference throughput of DeepSeek-V2 while matching closed-source models in published benchmark evaluations.

Tool Use
index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'deepseek/deepseek-v3',
  prompt: 'Why is the sky blue?'
})
OverviewPlaygroundAboutProvidersThroughputLatencyUptimeStatusSimilarFAQ

Frequently Asked Questions

  • What is the architecture of DeepSeek V3 0324?

    A sparse Mixture-of-Experts (MoE) model with 671B total parameters, activating 37B per forward pass. The context window is 163.8K tokens.

  • What is the inference speed of DeepSeek V3 0324?

    Roughly 3x faster than DeepSeek-V2. Live throughput metrics on this page update based on real traffic.

  • How does DeepSeek V3 0324 differ from DeepSeek-R1?

    DeepSeek V3 0324 is a general-purpose chat and instruction model. DeepSeek-R1 is a reasoning specialist trained with reinforcement learning to generate extended chain-of-thought for math, code, and formal reasoning tasks.

  • Is DeepSeek V3 0324 open-source?

    Yes. Model weights and the research paper are openly published.

  • Does DeepSeek V3 0324 maintain API compatibility with DeepSeek-V2?

    Yes. It maintains backward API compatibility, so upgrading from V2 requires minimal migration effort.

  • What context window does DeepSeek V3 0324 support?

    163.8K tokens, validated through Needle In A Haystack evaluations across the full range.