Gemini 3.8 Flash Cyber API Pricing
As of October 10, 2026, Gemini 3.8 Flash Cyber costs $1.50 per 1M input tokens and $7.50 per 1M output tokens on Google Vertex AI, with cache reads at $0.15 per 1M tokens. It has a 1,048,576-token context window and returns up to 65,536 tokens per response.
- Input
- $1.50 / 1M tokens
- Output
- $7.50 / 1M tokens
- Cache read
- $0.15 / 1M tokens
- Context window
- 1,048,576 tokens
- Max output
- 65,536 tokens
- Providers
- 1
- Added to LiteLLM
- September 24, 2026
Gemini 3.8 Flash Cyber pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Batch in | Batch out | Context |
|---|---|---|---|---|---|---|---|
| Google Vertex AI | vertex_ai/gemini-3.8-flash-cyber | $1.50 | $7.50 | $0.15 | $0.75 | $3.75 | 1M |
Other Gemini 3.8 Flash Cyber prices on Google Vertex AI
| Priority input | $2.70 per 1M tokens |
| Priority output | $13.50 per 1M tokens |
| Flex input | $0.75 per 1M tokens |
| Flex output | $3.75 per 1M tokens |
What Gemini 3.8 Flash Cyber costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Google Vertex AI | $6.75 |
| Google Vertex AI batch | $3.375 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Google Vertex AI | $16.50 |
Gemini 3.8 Flash Cyber features
Input: text, image, audio, video. Output: text.
- Function calling
- Structured output
- Image input
- PDF input
- Audio input
- Video input
- Reasoning
- Prompt caching
- Web search
Use Gemini 3.8 Flash Cyber with LiteLLM
Call Gemini 3.8 Flash Cyber through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="vertex_ai/gemini-3.8-flash-cyber",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: gemini-3.8-flash-cyber
litellm_params:
model: vertex_ai/gemini-3.8-flash-cyber
vertex_project: os.environ/VERTEX_PROJECT
vertex_location: os.environ/VERTEX_LOCATIONcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "gemini-3.8-flash-cyber",
"messages": [{"role": "user", "content": "Hello!"}]
}'Gemini 3.8 Flash Cyber FAQ
How much does Gemini 3.8 Flash Cyber cost?
Gemini 3.8 Flash Cyber costs $1.50 per 1M input tokens and $7.50 per 1M output tokens on Google Vertex AI, with cache reads at $0.15 per 1M tokens. Batch requests cost $0.75 per 1M input tokens and $3.75 per 1M output tokens.
What is the context window of Gemini 3.8 Flash Cyber?
Gemini 3.8 Flash Cyber has a 1,048,576-token context window and returns up to 65,536 tokens per response.
Which providers offer Gemini 3.8 Flash Cyber?
Gemini 3.8 Flash Cyber is available from Google Vertex AI through LiteLLM, using the model name vertex_ai/gemini-3.8-flash-cyber.
How do I call Gemini 3.8 Flash Cyber with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="vertex_ai/gemini-3.8-flash-cyber", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
What features does Gemini 3.8 Flash Cyber support?
Gemini 3.8 Flash Cyber supports structured output, image input, PDF input, audio input, video input, reasoning and prompt caching. It does not support function calling and web search.
When did LiteLLM add Gemini 3.8 Flash Cyber?
Gemini 3.8 Flash Cyber was added to LiteLLM's model price file on September 24, 2026.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: Google Vertex AI.
Provider pages: Google Vertex AI.
