# Gemini 4 Argon

Gemini 4 Argon is Google's first Gemini 4 model, a frontier system built to sustain careful reasoning across long, multi-step professional work. It is aimed at real-world software engineering, enterprise knowledge work such as legal and finance, and cybersecurity defense, rather than the quick everyday turns the Flash line handles. Its published context window is 1,048,576 tokens. The advertised input rate is $2.00 per million input tokens. The advertised output rate is $10.00 per million output tokens.

- Model identifier: ` google/gemini-4-argon `
- Creator: Google
- Providers: Google
- Model type: Text generation
- Canonical model page: [Gemini 4 Argon](<https://impossibl.com/google/gemini-4-argon>)
- API availability: Listed as serving through Impossibl.
- Creator release date: 2026-09-30

## Providers

Google hosts Gemini 4 Argon. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

| Provider | Endpoint location | Routes | Verified context window | Tool calling |
| --- | --- | --- | --- | --- |
| Google | Not specified | 1 | Not verified | Not verified |

The model price applies whichever provider serves the request. Endpoint locations do not guarantee inference residency.

## Specs and Capabilities

- Context window: 1,048,576 tokens
- Maximum output tokens: Not published in the public catalog; this is separate from the context window.
- Inputs: text, image, audio, video
- Outputs: text
- Tool calling: Not published

## API access

Use ` google/gemini-4-argon ` as the model identifier through the Impossibl API.

Published API endpoints:

- ` /v1/chat/completions `

[API quickstart](<https://impossibl.com/docs/agent-quickstart>) · [Models and billing documentation](<https://impossibl.com/docs/models>)

## Published API prices

All rates are in USD. An unpublished rate is unknown, not zero. Workspace-specific pricing, taxes, balance-purchase fees, billing adjustments, and tool charges can affect the amount paid.

| Usage | Published base rate | Billing unit |
| --- | --- | --- |
| Input | $2.00 | per million input tokens |
| Output | $10.00 | per million output tokens |
| Cache read | $0.10 | per million cached input tokens |
| Cache write (default retention) | Not published | per million tokens |
| Cache write (one-hour retention) | Not published | per million tokens |
| Audio input | Not published | per million audio input tokens |

## Benchmarks

Last checked: 2026-10-14T15:53:47.854Z.
Configurations are evaluated separately. API scores retain their original units. Unmeasured scores are omitted.

### Gemini 4 Argon (High)

Source: [Evaluation source](<https://artificialanalysis.ai/models/gemini-4-argon>)

| Benchmark | Score |
| --- | --- |
| Intelligence Index | 52.56 |
| Omniscience Index | 42.35 |
| Humanity’s Last Exam | 57.09% |
| SciCode | 61.81% |
| CritPt | 27.14% |
| AA-LCR | 79.67% |
| GDPval Elo | 1623.99 |
| GDP.pdf All-pass | 21.80% |
| AutomationBench Partial | 77.51% |
| AnalystAgent | 48.75% |
| legal index (API) | 60 |
| economics index (API) | 60.4 |
| engineering index (API) | 55.2 |
| intelligence index (API) | 52.6 |
| strategy and ops index (API) | 56.2 |
| finance and accounting index (API) | 53.8 |

Full benchmark data and breakdowns: [Complete benchmark snapshot](<https://api.impossibl.com/v1/models/google/gemini-4-argon/benchmarks>).


## Availability and retirement

The model is listed as serving. No retirement is announced in the current public catalog.

## Frequently asked questions

### What is Gemini 4 Argon?

Gemini 4 Argon is Google's first Gemini 4 model, a frontier system built to sustain careful reasoning across long, multi-step professional work. It is aimed at real-world software engineering, enterprise knowledge work such as legal and finance, and cybersecurity defense, rather than the quick everyday turns the Flash line handles.

Sources: [Google announcement: Gemini 4 Argon](<https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/>); [TechCrunch: Google releases Gemini 4 Argon](<https://techcrunch.com/2026/09/30/google-releases-gemini-4-argon-called-its-most-powerful-model-yet/>); [Vals AI model listing](<https://www.vals.ai/models/google_gemini-4-argon>)

### How much does Gemini 4 Argon cost?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens through the Impossibl API. Cache reads cost $0.10 per million tokens. All rates are in USD.

### What is the context length of Gemini 4 Argon?

Gemini 4 Argon has a 1,048,576-token context window through the Impossibl API.

### What inputs and outputs does Gemini 4 Argon support?

Gemini 4 Argon accepts text, image, audio, and video as input. Gemini 4 Argon returns text.

### How do I use Gemini 4 Argon through an API?

Gemini 4 Argon is available through the Impossibl API. Use google/gemini-4-argon as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

### When was Gemini 4 Argon released?

Google released Gemini 4 Argon on September 30, 2026.

Sources: [Creator release announcement](<https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/>)

## Sources and related links

Prices, limits, capabilities, endpoints, and availability come from the public Impossibl catalog. Creator documentation supplies descriptions and release dates where available; it does not override the published API offering.

- [Public Impossibl model catalog](<https://api.impossibl.com/v1/models>)
- [Full model directory as JSON](<https://impossibl.com/models.json>)
- [Gemini 4 Argon: model details and pricing](<https://impossibl.com/google/gemini-4-argon>)
- [Model directory](<https://impossibl.com/models>)
- [Google announcement: Gemini 4 Argon](<https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/>)
- [TechCrunch: Google releases Gemini 4 Argon](<https://techcrunch.com/2026/09/30/google-releases-gemini-4-argon-called-its-most-powerful-model-yet/>)
- [Vals AI model listing](<https://www.vals.ai/models/google_gemini-4-argon>)