DeepSeek: DeepSeek V3 0324
deepseek/deepseek-chat-v3-0324
Access DeepSeek V3 0324 from DeepSeek using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "deepseek/deepseek-chat-v3-0324"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "deepseek/deepseek-chat-v3-0324"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="deepseek/deepseek-chat-v3-0324",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "deepseek/deepseek-chat-v3-0324",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
DeepSeek V3-0324 is the March 2025 update to DeepSeek V3, incorporating reinforcement learning techniques from R1 to significantly improve reasoning, coding, and frontend development capabilities. It became the first open-source model to outperform all proprietary non-reasoning models on benchmarks, exceeding GPT-4.5 in math and coding tasks.
Context Window 164K
tokens
Max Output 16K
tokens
Input Cost $0.2
per million tokens
Output Cost $0.77
per million tokens
Release Date Mar 24, 2025
Model Playground
Try DeepSeek V3 0324 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How DeepSeek V3 0324 performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 65.5% |
| Humanity's Last Exam Cross-domain reasoning | 5.2% |
| LiveCodeBench Recent coding problems | 40.5% |
| SciCode Scientific programming | 35.8% |
| MATH-500 Competition math | 94.2% |
| AIME 2024 Advanced math exam | 52.0% |
| AIME 2025 Advanced math exam | 41.0% |
| IFBench Instruction following | 41.0% |
| LCR Long-context reasoning | 41.0% |
| Terminal-Bench Hard Agentic terminal tasks | 15.2% |
| τ²-Bench Tool use / agents | 47.1% |
Scores sourced from Artificial Analysis.
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DeepSeek V4 Pro is a 1.6T-parameter Mixture-of-Experts model from DeepSeek with 49B parameters activated per token, supporting a 1M-token context window. It is positioned as the strongest open-weight model currently available. V4 Pro leads all open-source models in math, coding, and STEM reasoning. On LiveCodeBench it scores 93.5, ahead of Gemini 3.1 Pro (91.7) and Claude Opus 4.6 (88.8). Its Codeforces rating of 3206 also tops GPT-5.4 (3168). On agentic tool-use benchmarks like MCPAtlas, it reaches near-parity with Opus 4.6. DeepSeek acknowledges it trails GPT-5.4 and Gemini 3.1 Pro overall by roughly 3–6 months of frontier development. Priced at $1.74/M input and $3.48/M output — a fraction of comparable closed-source models — it's a strong pick for complex reasoning, agentic coding, and knowledge-intensive tasks.
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Frequently Asked Questions
You can access DeepSeek V3 0324 by DeepSeek through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add DeepSeek V3 0324 to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.2 |
| Output | $0.77 |
DeepSeek V3 0324 was created by DeepSeek and released on Mar 24, 2025.
DeepSeek V3 0324 supports a context window of 164K tokens. For reference, that is roughly equivalent to 328 pages of text.
DeepSeek V3 0324 can generate up to 16K tokens in a single response.
DeepSeek V3 0324 scores 22.3 on the Artificial Analysis Intelligence Index, outperforming 54% of tracked models. On coding, it scores 22.0 (outperforms 54% of models). On math, it scores 41.0 (outperforms 41% of models).
Yes — the DeepSeek V3 0324 API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add DeepSeek V3 0324 to your app without worrying about API keys or setup.
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