LiteLLMModels

Gemini 4 Argon API Pricing

As of October 14, 2026, Gemini 4 Argon costs $2.00 per 1M input tokens and $10.00 per 1M output tokens on Google AI Studio, with cache reads at $0.10 per 1M tokens. It has a 1,048,576-token context window and returns up to 65,536 tokens per response.

By GoogleModel ID gemini/gemini-4-argonPrices updated Checked
Input
$2.00 / 1M tokens
Output
$10.00 / 1M tokens
Cache read
$0.10 / 1M tokens
Context window
1,048,576 tokens
Max output
65,536 tokens
Providers
3
Added to LiteLLM
October 13, 2026

Gemini 4 Argon pricing by provider

3 listings across 3 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

Gemini 4 Argon prices by provider in US dollars, token prices per 1M tokens, as of October 14, 2026. Source: LiteLLM model price file.
ProviderModel name in LiteLLMInputOutputCache readBatch inBatch outContext
Google AI Studiogemini/gemini-4-argon$2.00$10.00$0.10$1.00$5.001M
GitHub Copilotgithub_copilot/gemini-4-argon$2.00$10.00$0.10––200K
Google Vertex AIvertex_ai/gemini-4-argon$2.00$10.00$0.10$1.00$5.001M

Other Gemini 4 Argon prices on Google AI Studio

Priority input$3.60 per 1M tokens
Priority output$18.00 per 1M tokens
Flex input$1.00 per 1M tokens
Flex output$5.00 per 1M tokens
Web search$14.00 per 1K searches

What Gemini 4 Argon costs in practice

1,000 requests with 2,000 input and 500 output tokens each

Google AI Studio$9.00
GitHub Copilot$9.00
Google Vertex AI$9.00
Google AI Studio batch$4.50

100 long-document requests with 100,000 input and 2,000 output tokens each

Google AI Studio$22.00
GitHub Copilot$22.00
Google Vertex AI$22.00

Gemini 4 Argon features

Input: text, image, audio, video. Output: text.

Use Gemini 4 Argon with LiteLLM

Call Gemini 4 Argon 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.

Python SDK
from litellm import completion

response = completion(
    model="gemini/gemini-4-argon",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: gemini-4-argon
    litellm_params:
      model: gemini/gemini-4-argon
      api_key: os.environ/GEMINI_API_KEY
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "gemini-4-argon",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Gemini 4 Argon FAQ

How much does Gemini 4 Argon cost?

Gemini 4 Argon costs $2.00 per 1M input tokens and $10.00 per 1M output tokens on Google AI Studio, with cache reads at $0.10 per 1M tokens. Batch requests cost $1.00 per 1M input tokens and $5.00 per 1M output tokens.

What is the context window of Gemini 4 Argon?

Gemini 4 Argon has a 1,048,576-token context window and returns up to 65,536 tokens per response.

Which providers offer Gemini 4 Argon?

Gemini 4 Argon is available from 3 providers through LiteLLM: Google AI Studio, GitHub Copilot and Google Vertex AI.

How do I call Gemini 4 Argon with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="gemini/gemini-4-argon", 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 support?

Gemini 4 Argon supports function calling, parallel tool calls, structured output, image input, PDF input, audio input, video input, reasoning, prompt caching and web search. It does not support audio output.

When did LiteLLM add Gemini 4 Argon?

Gemini 4 Argon 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 AI Studio, GitHub Copilot, Google Vertex AI.

Provider pages: Google AI Studio, GitHub Copilot, Google Vertex AI.