OpenLuxDeepSeek V4 API
DeepSeek V4 delivers reasoning and Chinese-language strength at $0.0613 per million tokens — 90% below list pricing — on the same OpenAI-compatible endpoint as every other model.
Pay-as-you-go rate
$0.0613 / 1M tokens
-90% vs official list pricing. Billed in USD, metered per request with real-time cost in the console.
Access
One OpenLux key and the OpenAI-compatible endpoint: set base_url to https://openlux.lol/v1 and pass deepseek-v4 as the model.
Get started
Create a key in the console, then follow the five-minute docs for streaming, tools and error codes.
What DeepSeek V4 delivers
V4 is the value proposition of the reasoning tier: chain-of-thought style problem solving, solid Chinese comprehension and competent code, at roughly a sixth of gpt-6-astra’s rate.
It is a practical default for regional workloads, bilingual products and cost-bounded reasoning pipelines where you want strong answers without flagship pricing.
Reasoning-heavy prompts benefit from generous max_tokens settings, and streaming keeps long answers responsive in chat interfaces.
Call DeepSeek V4 in minutes
Every OpenLux model speaks the OpenAI protocol. Reuse your existing SDKs and replace two values: the base URL and the API key.
cURL
curl https://openlux.lol/v1/chat/completions \
-H "Authorization: Bearer $OPENLUX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4",
"messages": [{"role": "user", "content": "Given these requirements, reason step by step to choose a database and justify it."}]
}'Python (OpenAI SDK)
from openai import OpenAI
client = OpenAI(
api_key="sk-openlux-...",
base_url="https://openlux.lol/v1",
)
resp = client.chat.completions.create(
model="deepseek-v4",
messages=[{"role": "user", "content": "Given these requirements, reason step by step to choose a database and justify it."}],
)
print(resp.choices[0].message.content)Node.js (OpenAI SDK)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPENLUX_API_KEY,
baseURL: "https://openlux.lol/v1",
});
const resp = await client.chat.completions.create({
model: "deepseek-v4",
messages: [{ role: "user", content: "Given these requirements, reason step by step to choose a database and justify it." }],
});
console.log(resp.choices[0].message.content);Where DeepSeek V4 fits
Reasoning
Steps through problems methodically before answering — useful for math, logic and planning.
Chinese comprehension
Strong understanding and generation in Chinese alongside English.
Cost efficiency
$0.0613 per 1M tokens puts reasoning within reach of high-volume use.
Streaming
Streamed output for responsive interfaces on long reasoning chains.
Bilingual assistants
Products serving Chinese and English users with one model and one key.
Cost-bounded reasoning
Analysis workloads that need reasoning depth at a fraction of flagship rates.
Regional products
Applications for Chinese-speaking markets that need strong local language quality.
How deepseek-v4 is priced on OpenLux
DeepSeek V4 is metered pay as you go at $0.0613 / 1M tokens (-90% vs official rates). There is no subscription requirement for API access: top up a balance, call the model, and see the cost of every request in the console.
| Model | Provider | Rate | Discount |
|---|---|---|---|
| deepseek-v4 (this model) | DeepSeek | $0.0613 / 1M tokens | -90% |
| qwen3-max | Qwen | $0.0784 / 1M tokens | -88% |
| gpt-5.6-sol | OpenAI | $0.1838 / 1M tokens | -96% |
| gemini-3.8-flash | $0.0551 / 1M tokens | -92% |
Rates follow official provider pricing and are shown in USD. See the full model catalogue and pricing plans for credit allowances.
DeepSeek V4 questions
How much does DeepSeek V4 cost on OpenLux?
$0.0613 per 1 million tokens, 90% below list pricing, metered pay as you go with per-request cost in the console.
How do I call DeepSeek V4?
Through the same endpoint as everything else: base_url https://openlux.lol/v1, your OpenLux key and "model": "deepseek-v4".
Is DeepSeek good for Chinese content?
Yes — V4 has strong Chinese comprehension and generation, competitive with regional providers, while remaining capable in English.
How does the price compare with GPT-6 Astra?
At $0.0613 per 1M tokens, V4 costs roughly one sixth of gpt-6-astra ($0.3677). Route volume reasoning to V4 and reserve the flagships for the hardest tasks — same key, same endpoint.
Start calling DeepSeek V4 today
Create an OpenLux key and send your first request in minutes. Compare DeepSeek V4 with the rest of the catalogue on the same endpoint and the same bill.