OpenLuxGPT-5.6 Sol vs DeepSeek V4
GPT-5.6 Sol and DeepSeek V4 both run on OpenLux behind one OpenAI-compatible endpoint. GPT-5.6 Sol is metered at $0.1838 per 1M tokens (-96% vs official rates); DeepSeek V4 at $0.0613 per 1M tokens (-90% vs official rates). DeepSeek V4 is the lower-cost option per unit — about 67% cheaper on the same OpenLux endpoint. This page compares their rates, strengths and best-fit workloads so you can route each request to the right model.
The short version
In practice the two models are complements, not substitutes: GPT-5.6 Sol suits workloads that need agents and apps that call tools or functions, prompts that include images, charts or screenshots. DeepSeek V4 is the better fit when you need step-by-step reasoning, analysis and planning, Chinese-language products and bilingual apps. Both are called with the same OpenLux key, so switching between them is a one-field change to the model name.
Choose GPT-5.6 Sol when
- You need agents and apps that call tools or functions.
- You need prompts that include images, charts or screenshots.
Choose DeepSeek V4 when
- You need step-by-step reasoning, analysis and planning.
- You need Chinese-language products and bilingual apps.
- Unit cost is the deciding factor for this workload.
Rates on OpenLux
| Model | Provider | Rate | Discount |
|---|---|---|---|
| GPT-5.6 Sol | OpenAI | $0.1838 per 1M tokens | -96% |
| DeepSeek V4 | DeepSeek | $0.0613 per 1M tokens | -90% |
Rates follow official provider pricing and are billed in USD. See the full catalogue and pricing plans for credit allowances.
One snippet, two models
GPT-5.6 Sol and DeepSeek V4 share the same OpenAI-compatible request shape. Run the same code against both and compare the answers on your own workload.
from openai import OpenAI
client = OpenAI(
api_key="sk-openlux-...",
base_url="https://openlux.lol/v1",
)
for model in ["gpt-5.6-sol", "deepseek-v4"]:
resp = client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": "Summarise this release note for me."}],
)
print(model, "->", resp.choices[0].message.content)Any OpenAI SDK works the same way — see the docs for streaming, tools and error codes.
GPT-5.6 Sol vs DeepSeek V4 questions
How much do GPT-5.6 Sol and DeepSeek V4 cost on OpenLux?
GPT-5.6 Sol is metered pay as you go at $0.1838 per 1M tokens, a -96% discount on official list pricing. DeepSeek V4 is metered at $0.0613 per 1M tokens, a -90% discount. There is no subscription requirement: usage is billed in USD and every request is visible in the console.
Can I call GPT-5.6 Sol and DeepSeek V4 with the same API key?
Yes. Both models sit behind the same OpenAI-compatible endpoint at https://openlux.lol/v1. Keep the same key and change only the "model" field to switch between gpt-5.6-sol and deepseek-v4 — request and response shapes stay identical.
Which is cheaper, GPT-5.6 Sol or DeepSeek V4?
DeepSeek V4 costs less per unit: $0.0613 per 1M tokens versus $0.1838 per 1M tokens, about 67% lower for the same volume. Over a month of production traffic the difference compounds, and the console shows cost per request in real time.
When should I pick GPT-5.6 Sol over DeepSeek V4?
In practice the two models are complements, not substitutes: GPT-5.6 Sol suits workloads that need agents and apps that call tools or functions, prompts that include images, charts or screenshots. DeepSeek V4 is the better fit when you need step-by-step reasoning, analysis and planning, Chinese-language products and bilingual apps. Both are called with the same OpenLux key, so switching between them is a one-field change to the model name.
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Route every request to the right model
OpenLux keeps GPT-5.6 Sol, DeepSeek V4 and every other model behind one key, one endpoint and one bill. Start with free trial credit and switch models without touching your code.