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gemini-4-argonGoogle

from /1M in$2.00google vertex ai
context1.0M66K out
providers12 regions
endpoints22 regions
endpoints
2
regions
2
api
chat
released
October 2026
eu routing
available

capabilities 7/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

endpoints

2 / 2 regions
Providers serving gemini-4-argon, with pricing and measured performance. Best value in each column is coloured.
#flags
1Google Vertex AIGlobal1.0M$2.00$10.00$0.10zdr
2Google Vertex AIeu1.0M$2.20$11.00$0.11zdr
provider price, no markupper 1M tokensblank where no qualifying sample

measured

through Nov 2

no measured traffic for this model yet. the endpoints table above carries provider pricing

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
SciCode61.8
Humanity's Last Exam57.1
Intelligence Index50.4
3 evalsmean56.4

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-09-30.

call it

model=
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

Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.

quickstart

openai compatible
main.py
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)

Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models

notes

reference

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.

questions 6

Which providers serve gemini-4-argon?
gemini-4-argon is available from 1 provider through Requesty: Google 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 the cheapest provider. Prices vary by provider and region; the table above shows every endpoint. Requesty charges exactly what the upstream provider charges, with no markup.
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.

more from google 6

Other Google models
modelcontextfrom /Mproviders
gemini-3.8-flash1.0M$0.751
gemini-3.7-flash1.0M$0.751
gemini-3.6-flash1.0M$0.382
gemini-3.5-flash-lite1.0M$0.152
gemini-3.1-flash-image131K$0.252
gemini-3-pro-image1.0M$1.002

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. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology

gemini-4-argon1 provider2 endpointsfrom $2.00 /1M inctx 1.0Mupdated Nov 2