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.
import { streamText } from 'ai'
const result = streamText({ model: 'deepseek/deepseek-v3', prompt: 'Why is the sky blue?'})What To Consider When Choosing a Provider
- Configuration: DeepSeek V3 0324's context window of 163.8K tokens supports long-document tasks. Plan output token budgets carefully for summarization and report generation, which can produce lengthy completions.
- Zero Data Retention: AI Gateway supports Zero Data Retention for this model via direct gateway requests (BYOK is not included). To configure this, check the documentation.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use DeepSeek V3 0324
Best For
- General-purpose language tasks: Summarization, question answering, code generation, and translation where broad capability matters more than specialization
- High-throughput production pipelines: Fast token generation lowers latency and cost compared to slower alternatives of comparable quality (see live metrics on this page)
- Long-document workflows: The context window of 163.8K tokens processes contracts, research papers, or large codebases in a single request
- Upgrading from DeepSeek V2: API backward compatibility minimizes integration work when migrating
Consider Alternatives When
- Deep multi-step reasoning: Use DeepSeek-R1 for extended chain-of-thought and math/code reasoning workloads
- Hybrid thinking and tools: DeepSeek-V3.1 or later adds thinking and tool-use support on top of V3's foundation
- Extremely long outputs: Tasks requiring output beyond the model's per-request limit need a larger-output alternative
- Newer V3 capabilities: Newer V3 iterations may better suit rapidly evolving requirements beyond what V3 offers
Conclusion
DeepSeek V3 0324 set the baseline for open-source language models that compete with closed releases on published benchmarks. It remains DeepSeek's V3 baseline for general-purpose production when you need backward compatibility, open weights, and API parity with earlier DeepSeek integrations.
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.
