Gemini 4 Argon Cyber Permissive API Pricing
As of October 14, 2026, Gemini 4 Argon Cyber Permissive costs $4.00 per 1M input tokens and $20.00 per 1M output tokens on Google Vertex AI, with cache reads at $0.20 per 1M tokens. It has a 1,048,576-token context window and returns up to 1,048,576 tokens per response.
- Input
- $4.00 / 1M tokens
- Output
- $20.00 / 1M tokens
- Cache read
- $0.20 / 1M tokens
- Context window
- 1,048,576 tokens
- Max output
- 1,048,576 tokens
- Providers
- 1
- Added to LiteLLM
- October 13, 2026
Gemini 4 Argon Cyber Permissive 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-4-argon-cyber-permissive | $4.00 | $20.00 | $0.20 | $2.00 | $10.00 | 1M |
Other Gemini 4 Argon Cyber Permissive prices on Google Vertex AI
| Priority input | $7.20 per 1M tokens |
| Priority output | $36.00 per 1M tokens |
| Flex input | $2.00 per 1M tokens |
| Flex output | $10.00 per 1M tokens |
| Audio input | $4.00 per 1M tokens |
| Web search | $14.00 per 1K searches |
What Gemini 4 Argon Cyber Permissive costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Google Vertex AI | $18.00 |
| Google Vertex AI batch | $9.00 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Google Vertex AI | $44.00 |
Gemini 4 Argon Cyber Permissive features
Input: text, image, audio, video. Output: text.
- Function calling
- Parallel tool calls
- Structured output
- Image input
- PDF input
- Audio input
- Video input
- Reasoning
- Prompt caching
- Web search
Use Gemini 4 Argon Cyber Permissive with LiteLLM
Call Gemini 4 Argon Cyber Permissive 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-4-argon-cyber-permissive",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: gemini-4-argon-cyber-permissive
litellm_params:
model: vertex_ai/gemini-4-argon-cyber-permissive
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-4-argon-cyber-permissive",
"messages": [{"role": "user", "content": "Hello!"}]
}'Gemini 4 Argon Cyber Permissive FAQ
How much does Gemini 4 Argon Cyber Permissive cost?
Gemini 4 Argon Cyber Permissive costs $4.00 per 1M input tokens and $20.00 per 1M output tokens on Google Vertex AI, with cache reads at $0.20 per 1M tokens. Batch requests cost $2.00 per 1M input tokens and $10.00 per 1M output tokens.
What is the context window of Gemini 4 Argon Cyber Permissive?
Gemini 4 Argon Cyber Permissive has a 1,048,576-token context window and returns up to 1,048,576 tokens per response.
Which providers offer Gemini 4 Argon Cyber Permissive?
Gemini 4 Argon Cyber Permissive is available from Google Vertex AI through LiteLLM, using the model name vertex_ai/gemini-4-argon-cyber-permissive.
How do I call Gemini 4 Argon Cyber Permissive with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="vertex_ai/gemini-4-argon-cyber-permissive", 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 4 Argon Cyber Permissive support?
Gemini 4 Argon Cyber Permissive supports function calling, parallel tool calls, structured output, image input, PDF input, audio input, video input, reasoning, prompt caching and web search.
When did LiteLLM add Gemini 4 Argon Cyber Permissive?
Gemini 4 Argon Cyber Permissive was added to LiteLLM's model price file on October 13, 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. Maintainers update it from each provider's published pricing, and this page is rebuilt within about 30 minutes of every change. Provider pricing pages:
LiteLLM docs: Google Vertex AI.
Provider pages: Google Vertex AI.
