# Gemini 4 Argon API Pricing

As of October 15, 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. Google lists these as introductory prices through November 30, 2026. It has a 1,048,576-token context window and returns up to 65,536 tokens per response.

- Page: https://models.litellm.ai/models/gemini-4-argon
- Lab: Google
- LiteLLM model name: `gemini/gemini-4-argon`
- Context window: 1,048,576 tokens
- Max output: 65,536 tokens
- Added to LiteLLM: October 13, 2026
- Introductory price until: November 30, 2026 (source: https://ai.google.dev/gemini-api/docs/pricing)
- Prices updated: October 15, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Google AI Studio | `gemini/gemini-4-argon` | $2.00 | $10.00 | $0.10 | – | – | 1M |
| GitHub Copilot | `github_copilot/gemini-4-argon` | $2.00 | $10.00 | $0.10 | – | – | 200K |
| Google Vertex AI | `vertex_ai/gemini-4-argon` | $2.00 | $10.00 | $0.10 | – | – | 1M |

## Cost examples

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

## Features

Supported: Function calling, Parallel tool calls, Structured output, Image input, PDF input, Audio input, Video input, Reasoning, Prompt caching, Web search.
Not supported: Audio output.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="gemini/gemini-4-argon",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## 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. Google lists these as introductory prices through November 30, 2026. 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.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change.