Requesty
Google logo

gemini-4-argon

Google/Proprietary/1 provider

Gemini 4 Argon is Google's frontier model for deep work on complex, real world tasks across coding, finance, legal, cybersecurity and science. It sustains long multi step workflows with strong reasoning and multimodal understanding over a 1M token context.More
Compare 2 endpointsAll models →

Which id to call

gemini-4-argon

Requesty routes this id across every provider serving gemini-4-argon, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

From /1M input

$2.00

$4.00 list

Google LLC (Vertex AI)

Context

1.0M

66K output

Endpoints

2

2 regions

Regions

2

chat

Capabilities 7/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

2 endpoints / 2 regions

Providers serving gemini-4-argon

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving gemini-4-argon, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1Google LLC (Vertex AI)50% offGlobal1.0M$4.00$2.00$20.00$10.00$0.10zdr
2Google LLC (Vertex AI)50% offeu1.0M$4.40$2.20$22.00$11.00$0.11zdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

gemini-4-argon

Requesty routes this id across every provider serving gemini-4-argon, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="gemini-4-argon",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

Intelligence Indexreasoning
52.6%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.

6

More from Google

gemini-3.8-flash

1.0M ctx/from $0.75/1 provider

gemini-3.7-flash

1.0M ctx/from $0.75/1 provider

gemini-3.6-flash

1.0M ctx/from $0.38/2 providers

gemini-3.5-flash-lite

1.0M ctx/from $0.15/2 providers

gemini-3.1-flash-image

131K ctx/from $0.25/2 providers

gemini-3-pro-image

1.0M ctx/from $1.00/2 providers

Reference

gemini-4-argon questions

Which providers serve gemini-4-argon?

gemini-4-argon is available from 1 provider through Requesty: Google LLC (Vertex AI). All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does gemini-4-argon cost?

Pricing starts at $2.00 per million input tokens and $10.00 per million output tokens on Google LLC (Vertex AI), the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is gemini-4-argon open weights?

No. gemini-4-argon is a proprietary model from Google, served through Google's own API and licensed cloud platforms.

What is the context window of gemini-4-argon?

gemini-4-argon supports up to 1.0M tokens of context, with up to 66K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use gemini-4-argon with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "gemini-4-argon" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Should I call gemini-4-argon by its managed id or a provider id?

Use the managed id, "gemini-4-argon". Requesty picks which of the 1 provider serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. There is also an EU-only id, "gemini-4-argon@eu", which routes the same way but only through EU-hosted providers. Send a provider id like "vertex/gemini-4-argon" only when you need one specific deployment and want no failover.

Route gemini-4-argon through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

Benchmark rankings