DeepSeek V3 0324
VerifiedOpen-weight LLM built for extended text reasoning and generation.
About DeepSeek V3 0324
DeepSeek designed the model around a transformer architecture optimized for long-sequence processing. Its open-weight release enables broad access for inspection, modification, and deployment on compatible hardware. The 163840-token context allows the model to maintain coherence across very large inputs.
Strengths center on handling extended documents and multi-turn conversations without truncation. The open-weight format encourages community-driven fine-tuning and research applications. This approach supports transparency while avoiding reliance on proprietary APIs.
Common usage includes code assistance, document analysis, and technical writing. Users integrate the model into local or cloud environments where large context windows improve output quality. Researchers frequently select it for experiments requiring substantial textual context.
Capabilities
How DeepSeek V3 0324 compares
DeepSeek V3 0324 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · DeepSeek V3 0324 ranks #41 of 98
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-Document Analysis
The model processes and reasons over extensive texts within its 163840-token context window, supporting tasks such as summarizing lengthy research papers or technical reports.
Code Generation and Debugging
It generates, reviews, and debugs code across languages, assisting developers with complex programming projects and error resolution.
Mathematical and Technical Problem Solving
The model solves advanced mathematical problems and produces precise technical writing, making it suitable for research and engineering analysis.
Strengths & limitations
Strengths
- +Strong coding and math performance
- +Very large context window
- +Efficient inference for its size
- +Competitive general reasoning
Limitations
- –Text-only (no vision)
- –Knowledge cutoff at training time
- –Can still hallucinate on complex topics
Cost calculator
Estimate what DeepSeek V3 0324 would cost for your usage.
Based on DeepSeek V3 0324's $0.20/1M input · $0.77/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "deepseek/deepseek-chat-v3-0324",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: deepseek/deepseek-chat-v3-0324
Editor's verdict
DeepSeek V3 0324 is DeepSeek's open-weight language models with a 164K-token context window.
At $0.77 per 1M output tokens, it is very cost-efficient for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to strong coding and math performance and very large context window.
Frequently asked questions
The model provides a context window of 163840 tokens.
User reviews
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