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DeepSeek V3 0324 APIOPEN WEIGHTS164K context

by DeepSeek · text->text · released 2025-03-24

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team.

Get an API key Try in Chat https://api.datallmlab.com/v1
Input / 1M
$0.24
Output / 1M
$0.90
Context
164K
Providers
4
HF downloads · 30d
1.1M
Cheaper than
63% of catalog

Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).

What is DeepSeek V3 0324?

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...

DeepSeek V3 0324 on the release timeline

$0.18$0.41$0.95DeepSeek V3 0324 · $0.902024-122025-092026-04
Each point is a deepseek v release, placed at its launch date with its current output price (log scale, $/1M). Bubble size ∝ context window; DeepSeek V3 0324 is highlighted. Source: provider catalog, verified July 2026.

DeepSeek V3 0324 pricing

Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):

ModelInput / 1MOutput / 1MCache readCache writeContext
DeepSeek V3 0324$0.24$0.90$0.14164K

On output price, DeepSeek V3 0324 is cheaper than 63% of the 309 models in the catalog. It is served by 4 providers; the best combined rate at our last snapshot was ≈ $0.24 / $0.90 per 1M via DeepInfra, with upstream quantizations fp4, fp8.

What DeepSeek V3 0324 costs per month

WorkloadTokens in / out (monthly)Est. cost
Support chatbot40M / 12M$20.40
RAG / knowledge base200M / 20M$66.00
Coding agent80M / 25M$41.70
Batch extraction150M / 8M$43.20
Content generation20M / 40M$40.80

Estimate your own monthly cost

= input × $0.24 + output × $0.90 per 1M · pay-as-you-go, computed in your browser.

Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.

DeepSeek V3 0324 vs alternatives

Pick DeepSeek V3 0324 when you want open weights you can also self-host. If price is the only priority, DeepSeek V3 is cheaper per token.
ModelInput / 1MOutput / 1MContextOur test
DeepSeek V3 0324$0.24$0.90164K
DeepSeek V4 Pro$0.43$0.871M8/9
DeepSeek V3.1 Terminus$0.27$0.95164K
DeepSeek V3$0.20$0.80131K
Codestral 2508$0.30$0.90256K
GLM 4.6V$0.30$0.90131K

Specs

Model IDdeepseek/deepseek-chat-v3-0324
Modalitytext->text (input: text)
Context window163,840 tokens
Max output16,384 tokens
Tool / function calling✅ Yes
Structured output (JSON)✅ Yes
Released2025-03-24
Knowledge cutoff2024-07-31
Open weightsdeepseek-ai/DeepSeek-V3-0324 · 1.1M downloads / 3.1K likes (30d)

How to call DeepSeek V3 0324

from openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
    model="deepseek/deepseek-chat-v3-0324",
    messages=[{"role": "user", "content": "Hello"}],
    # supports tools=[...] and tool_choice
)
print(resp.choices[0].message.content)
curl https://api.datallmlab.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepseek/deepseek-chat-v3-0324","messages":[{"role":"user","content":"Hello"}]}'
import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
  model: "deepseek/deepseek-chat-v3-0324",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);

The same key routes DeepSeek V3 0324 and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.

Prompting tips for DeepSeek V3 0324

Tips are derived from DeepSeek V3 0324's actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.

Open-source tools for DeepSeek V3 0324

Popular open-source projects for running and building with DeepSeek V3 0324 — star counts pulled from GitHub (July 2026).

ollama/ollama★ 175.3K
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Go
langgenius/dify★ 147.5K
Production-ready platform for agentic workflow development.
TypeScript
open-webui/open-webui★ 144.0K
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Python
langchain-ai/langchain★ 140.8K
The agent engineering platform.
Python
ggml-org/llama.cpp★ 119.1K
LLM inference in C/C++
C++
vllm-project/vllm★ 85.2K
A high-throughput and memory-efficient inference and serving engine for LLMs
Python

Listed by GitHub stars; inclusion is by ecosystem relevance (inference engines, agent frameworks and SDKs), not affiliation. Stars change — see each repo for current numbers.

Migrating to DeepSeek V3 0324

Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → deepseek/deepseek-chat-v3-0324. Messages, streaming, tool calls and the rest of your code stay the same. Routing & failover guide.

Self-host or use the API?

DeepSeek V3 0324 ships open weights (deepseek-ai/DeepSeek-V3-0324, ~1.1M downloads and 3.1K likes in the last 30 days), with community quantizations (fp4, fp8) for smaller GPUs, so you can run it yourself. Most teams still use the API: no GPU to provision or keep warm, no inference ops, and instant access across 4 providers with automatic failover. Self-host when data residency or fixed per-token economics matter most.

Rate limits & reliability

Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff; because DeepSeek V3 0324 is served by 4 providers, requests can fail over to a healthy one automatically. See the error-code guide and failover setup.

Related reading

DeepSeek API: Pricing & Keys
DataLLM Lab Blog
DeepSeek Alternatives
DataLLM Lab Blog
How OpenAI-Compatible APIs Work
DataLLM Lab Blog

Call DeepSeek V3 0324 with one key

300+ models behind one OpenAI-compatible endpoint — better prices, better uptime, no subscriptions.

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Frequently asked questions

What is DeepSeek V3 0324?

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It accepts text input with a 164K-token context window and was released on 2025-03-24. On DataLLM Lab it is callable through one OpenAI-compatible endpoint.

How much does DeepSeek V3 0324 cost?

On DataLLM Lab it is $0.24 per 1M input tokens and $0.90 per 1M output tokens, with cached input at $0.14/1M — cheaper than about 63% of the 309-model catalog on output price. Pay-as-you-go, no subscription.

What is the context window of DeepSeek V3 0324?

164K tokens, with up to 16K max output tokens.

Is DeepSeek V3 0324 open source?

Yes — open weights are published on Hugging Face (deepseek-ai/DeepSeek-V3-0324), with about 1.1M downloads and 3.1K likes in the last 30 days. You can self-host it or call it via DataLLM Lab.

How do I call the DeepSeek V3 0324 API?

Point any OpenAI SDK at https://api.datallmlab.com/v1 and set model to "deepseek/deepseek-chat-v3-0324". One DataLLM Lab key routes this model and 300+ others; no code changes beyond the base URL and model string.

What are good alternatives to DeepSeek V3 0324?

Close options by price and capability include DeepSeek V4 Pro, DeepSeek V3.1 Terminus, DeepSeek V3 — all callable with the same DataLLM Lab key.