Google: Gemini 4 Argon✓ Catalog verified
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
Overview
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
Access: available through the official Google API. Context window: 1.0M.
Specifications
| API identifier | google/gemini-4-argon |
| Provider | |
| Model type | Multimodal LLM |
| Context window | 1.0M catalog |
| Input modalities | audio · file · image · text · video |
| Output modalities | text |
| Released | Oct 13, 2026 |
| Tokenizer | Gemini |
| Moderated | No |
| Architecture modality | text+image+file+audio+video->text |
API defaults
{
"top_k": null,
"top_p": null,
"temperature": null,
"presence_penalty": null,
"frequency_penalty": null,
"repetition_penalty": null
}Pricing
Live pricing components for google/gemini-4-argon as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $0.000002 | $2.00 / 1M | Per input token |
| Completion tokens | $0.00001 | $10.00 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | $0.000002 | $0.000002 | Per image unit |
| Web search fee | $0.014 | $0.014000 | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$3Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | ✓ Supported | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Google: Gemini 4 Argon through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="google/gemini-4-argon",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| DeepSeek: DeepSeek V4 Flash 0423 | DeepSeek | 1.0M | $0.09 | View → |
| DeepSeek: DeepSeek V4 Flash 0731 | DeepSeek | 1.0M | $0.02 | View → |
Head-to-head comparisons
Side-by-side breakdowns of Google: Gemini 4 Argon against other frontier models.
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Google: Gemini 4 Argon cost?
$2.00 per 1M input tokens and $10.00 per 1M output tokens on the official Google API.
What is the context window of Google: Gemini 4 Argon?
Google: Gemini 4 Argon supports up to 1.0M tokens of context.
Does Google: Gemini 4 Argon support tool / function calling?
Yes, Google: Gemini 4 Argon supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Google: Gemini 4 Argon?
Use the official Google API with the model id `google/gemini-4-argon`. See the Quick start section above for code examples.