Gemini 4 Argon API in Russia — no VPN, no foreign card
Gemini 4 Argon is Google's flagship reasoning model for complex software engineering, math, science and multi-step agents. Connect through RuAPI: pay in USDT from $5, no subscription, your key right after sign-up.
from openai import OpenAI
client = OpenAI(
api_key="sk-...",
base_url="https://www.ruapi.ai/v1",
)
resp = client.chat.completions.create(
model="gemini-4-argon",
messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)Replace sk-... with a key from the RuAPI Console — the model gemini-4-argon is already set.
Gemini 4 Argon API price
Current price in US dollars — the same as on the pricing page. Pay in USDT, pay as you go, no subscription.
| model | input $ / 1M | output $ / 1M |
|---|---|---|
| gemini-4-argon | $2.40 cache read $0.12 | $12.00 |
Input is the regular price of input tokens, “cache read” is the price of input tokens served from the prompt cache, output is the price of output tokens. The price in your account may be lower.
What is Gemini 4 Argon
Google currently presents Argon as its flagship. The model is built for complex software engineering, math and science problems, and autonomous agents that work through long chains of steps on their own. It accepts text, images, video, audio and PDF and replies in text.
Thinking is always on in Argon; you control its depth with the thinking_level parameter. The minimal level and the thinking_budget parameter are rejected with an error, so check your request settings when switching from other Gemini models. Caching is implicit only: Google automatically caches repeated prompt prefixes, while explicit context caching isn't supported for this model.
Gemini 4 Argon specs
| Developer | |
| Model ID in the RuAPI API | gemini-4-argon |
| Context window | 1,048,576 tokens |
| Max output | 65,536 tokens |
| Input | text, images, video, audio, PDF |
| Output | text |
| Reasoning mode | yes |
| Tool calling | yes |
| Prompt caching | yes |
| Status | generally available |
| Protocols on RuAPI | OpenAI (/v1/chat/completions) · Gemini (/v1beta) |
Specs are from Google’s official documentation (ai.google.dev), checked Oct 22, 2026.
What it’s good for
- Hard engineering work: refactoring, tracking down subtle bugs, designing modules
- Autonomous agents with tool calls and long multi-step runs
- Math and science problems where the reasoning matters
- Analyzing video, audio and PDF alongside text instructions
When another model is a better fit
- Gemini 3.1 Pro — Google's previous Pro model — useful if your prompts and agents are already tuned for it.
- Gemini 3.5 Flash-Lite — Cheaper and faster for high-volume simple tasks that don't need deep reasoning.
Gemini 4 Argon: price on RuAPI and elsewhere
| RuAPI | AITUNNEL | ProxyAPI | |
|---|---|---|---|
| Input, $ per 1M tokens | $2.40 | ≈ $4.88 | ≈ $14.88 |
| Output, $ per 1M tokens | $12.00 | ≈ $24.40 | ≈ $74.41 |
AITUNNEL and ProxyAPI prices are from their public pages as of Oct 22, 2026 (ProxyAPI prices include VAT, as on their site), converted at the Bank of Russia rate (81.97 ₽ per $1). The RuAPI price is current.
How to connect Gemini 4 Argon from Russia
- Sign up at ruapi.ai — with email, Google or Yandex. No VPN needed.
- Top up with USDT or USDC from 5 USDT. No USDT yet? Buy it with rubles via SBP — step by step in the docs.
- In the Console, open API Keys → Create key.
- Use the address https://www.ruapi.ai/v1 and the model gemini-4-argon. For the Google GenAI SDK, the address is https://www.ruapi.ai, without /v1beta.
FAQ
See also: Gemini API in Russia · Documentation · Gemini 3.1 Pro · Gemini 3.5 Flash-Lite · Nano Banana Pro