Gemini 4 Argon
Gemini 4 Argon costs $2 per 1M input tokens and $10 per 1M output tokens on LLM API, with a 1.05M-token context window.
Pricing
Lowest price among 2 providers, after discounts.
| Input | $2 | per 1M tokens |
|---|---|---|
| Output | $10 | per 1M tokens |
| Cache read | $0.1 | per 1M tokens |
| Cache write, 5 minutes | $0.1875 | per 1M tokens |
| Web search | $0.014 | per search |
Providers
Prices after each provider’s discount; the lowest in bold.
| $2 | $10 | $0.1 | 1.05M | 66K | |
| $2 | $10 | $0.1 | 1.05M | 66K |
Features
- ToolsYes
- Parallel tool callsNo
- Image inputYes
- ReasoningYes
Levels: low, medium, high · default medium
- Prompt cachingYes
- Structured outputsYes
- JSON modeYes
- StreamingYes
- Web searchYes
Call Gemini 4 Argon
POST /v1/chat/completionsSet LLMAPI_KEY to your LLM API key.Chat Completions docs
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.llmapi.ai/v1",
api_key=os.environ["LLMAPI_KEY"],
)
response = client.chat.completions.create(
model="gemini-4-argon",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.llmapi.ai/v1",
apiKey: process.env.LLMAPI_KEY,
});
const response = await client.chat.completions.create({
model: "gemini-4-argon",
messages: [{ role: "user", content: "Hello" }],
});
console.log(response.choices[0].message.content);curl https://api.llmapi.ai/v1/chat/completions \
-H "Authorization: Bearer $LLMAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-4-argon",
"messages": [{"role": "user", "content": "Hello"}]
}'More from Google
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Gemini 3.5 Flash Litegemini-3.5-flash-lite$0.255 / $2.125per 1M input / output
Gemini 3.7 Flashgemini-3.7-flash$0.6375 / $3.1875per 1M input / output
Prices synced .