OpenLuxGemini 3.8 Flash vs DeepSeek V4
Gemini 3.8 Flash and DeepSeek V4 both run on OpenLux behind one OpenAI-compatible endpoint. Gemini 3.8 Flash is metered at $0.0551 per 1M tokens (-92% vs official rates); DeepSeek V4 at $0.0613 per 1M tokens (-90% vs official rates). Gemini 3.8 Flash is the lower-cost option per unit — about 10% 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: Gemini 3.8 Flash 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 Gemini 3.8 Flash when
- You need agents and apps that call tools or functions.
- You need prompts that include images, charts or screenshots.
- Unit cost is the deciding factor for this workload.
Choose DeepSeek V4 when
- You need step-by-step reasoning, analysis and planning.
- You need Chinese-language products and bilingual apps.
Rates on OpenLux
| Model | Provider | Rate | Discount |
|---|---|---|---|
| Gemini 3.8 Flash | $0.0551 per 1M tokens | -92% | |
| 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
Gemini 3.8 Flash 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 ["gemini-3.8-flash", "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.
Gemini 3.8 Flash vs DeepSeek V4 questions
How much do Gemini 3.8 Flash and DeepSeek V4 cost on OpenLux?
Gemini 3.8 Flash is metered pay as you go at $0.0551 per 1M tokens, a -92% 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 Gemini 3.8 Flash 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 gemini-3.8-flash and deepseek-v4 — request and response shapes stay identical.
Which is cheaper, Gemini 3.8 Flash or DeepSeek V4?
Gemini 3.8 Flash costs less per unit: $0.0551 per 1M tokens versus $0.0613 per 1M tokens, about 10% 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 Gemini 3.8 Flash over DeepSeek V4?
In practice the two models are complements, not substitutes: Gemini 3.8 Flash 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.
Keep comparing
More head-to-head pages that pair well with this one.
GPT-6 Astra vs Gemini 3.8 Flash
Rates, strengths and which model to pick.
GPT-5.6 Sol vs Gemini 3.8 Flash
Rates, strengths and which model to pick.
Gemini 3.8 Flash vs Gemini 3 Flash (preview)
Rates, strengths and which model to pick.
Gemini 3.8 Flash vs Claude Sonnet 4.5
Rates, strengths and which model to pick.
Gemini 3.8 Flash vs Claude Opus 5
Rates, strengths and which model to pick.
Gemini 3.8 Flash vs Claude Fable 5.1
Rates, strengths and which model to pick.
Explore by use case
Tool calling & agents
Every Tools-capable model, ready for function calling and agent loops.
Cheapest text models
The lowest per-token rates for volume chat and automation.
Biggest discounts
The largest gaps between official list prices and OpenLux rates.
Chinese-optimized models
DeepSeek, Qwen and Doubao for Chinese-language products.
Route every request to the right model
OpenLux keeps Gemini 3.8 Flash, 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.