OpenLuxGPT Image 2 C vs Gemini 3.1 Flash Image Preview
GPT Image 2 C and Gemini 3.1 Flash Image Preview both run on OpenLux behind one OpenAI-compatible endpoint. GPT Image 2 C is metered at $0.00882 per request (-93% vs official rates); Gemini 3.1 Flash Image Preview at $0.0122 per request (-92% vs official rates). GPT Image 2 C is the lower-cost option per unit — about 28% 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 Image 2 C suits workloads that need image generation and creative pipelines. Gemini 3.1 Flash Image Preview is the better fit when you need image generation and creative pipelines. Both are called with the same OpenLux key, so switching between them is a one-field change to the model name.
Choose GPT Image 2 C when
- You need image generation and creative pipelines.
- Unit cost is the deciding factor for this workload.
Choose Gemini 3.1 Flash Image Preview when
- You need image generation and creative pipelines.
Rates on OpenLux
| Model | Provider | Rate | Discount |
|---|---|---|---|
| GPT Image 2 C | OpenAI | $0.00882 per request | -93% |
| Gemini 3.1 Flash Image Preview | $0.0122 per request | -92% |
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 Image 2 C and Gemini 3.1 Flash Image Preview 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-image-2-c", "gemini-3.1-flash-image-preview"]:
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 Image 2 C vs Gemini 3.1 Flash Image Preview questions
How much do GPT Image 2 C and Gemini 3.1 Flash Image Preview cost on OpenLux?
GPT Image 2 C is metered pay as you go at $0.00882 per request, a -93% discount on official list pricing. Gemini 3.1 Flash Image Preview is metered at $0.0122 per request, a -92% discount. There is no subscription requirement: usage is billed in USD and every request is visible in the console.
Can I call GPT Image 2 C and Gemini 3.1 Flash Image Preview 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-image-2-c and gemini-3.1-flash-image-preview — request and response shapes stay identical.
Which is cheaper, GPT Image 2 C or Gemini 3.1 Flash Image Preview?
GPT Image 2 C costs less per unit: $0.00882 per request versus $0.0122 per request, about 28% 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 Image 2 C over Gemini 3.1 Flash Image Preview?
In practice the two models are complements, not substitutes: GPT Image 2 C suits workloads that need image generation and creative pipelines. Gemini 3.1 Flash Image Preview is the better fit when you need image generation and creative pipelines. Both are called with the same OpenLux key, so switching between them is a one-field change to the model name.
Keep comparing
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Gemini 3.1 Flash Image Preview vs FLUX 2 Pro
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Route every request to the right model
OpenLux keeps GPT Image 2 C, Gemini 3.1 Flash Image Preview and every other model behind one key, one endpoint and one bill. Start with free trial credit and switch models without touching your code.