Pricing
| Pricing | Cache Read | Input Audio | Input Audio Cached | Web Search | Cache Storage |
|---|---|---|---|---|---|
Pricing | Cache Read | Input Audio | Input Audio Cached | Web Search | Cache Storage |
$50$150 | $5/M tokens | $100/M tokens | $10/M tokens | $0.035/request | $1/h/M tokens |
Input Modalities
Try this model
Python
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AIHUBMIX_API_KEY"],
base_url="https://shkq.org/v1",
)
response = client.chat.completions.create(
model="gemini-3-flash-preview-pro",
messages=[
{
"role": "user",
"content": "Hello, how are you?"
}
],
max_tokens=1024,
stream=False,
)
print(response.choices[0].message.content)Frequently asked questions
How much does Gemini 3 Flash Preview (pro) cost?
On AIHubMix, Gemini 3 Flash Preview (pro) costs $50 per million input tokens and $150 per million output tokens. Cached input reads are billed at $12.5 per million tokens.
How do I call Gemini 3 Flash Preview (pro) via API?
Who created Gemini 3 Flash Preview (pro)?
More models from Google
See all Google models → Input:$ 2 /M
Output:$ 12 /M
Context:-
TTFT:-
Throughput:-
- Input: $ 2 /M
- Output: $ 12 /M
- Web Search: $0.014/request
- Cache Storage: $1/h/M tokens
- Input Audio: $1/M tokens
- Input Video: $1/M tokens
Input:$ 0 /M
Output:$ 0 /M
Context:1M
TTFT:-
Throughput:-
Input:$ 2 /M
Output:$ 12 /M
Context:-
TTFT:-
Throughput:-
Input:$ 2 /M
Output:$ 12 /M
Context:-
TTFT:-
Throughput:-
0.04$/image ;2.49m/tokens
Aihubmix supports the gemini-2.5-flash-image model (known on social media as nano-banana); you can add the extra parameter modalities=["text", "image"] via the OpenAI-compatible chat interface. This model allows adjustment of the generated image’s aspect ratio through parameters, but requires using the native Gemini SDK.
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