Curated models for your best work

Gemini 4 Argon

Vision
Tool calling
Streaming
1.05M context

Model id

google/gemini-4-argon

API Try this model

Context window: 1.05M; tokens
Input price: $2; per 1M tokens
Output price: $10; per 1M tokens
Max output: Provider; no narrower limit

Provider list price

Pricing

USD / 1M tokens

Input	$2 / M tokens
Output	$10 / M tokens
Cache read	$0.1 / M tokens
Context window	1.05M tokens
Routing	Free

Provider list price. BYOK bills your provider; managed credits draw down at these rates. No markup or request fee. Every request is metered per engineer and joined to shipped work.

Registry 2026-09-29.1 · effective 9/17/2026 · Gemini API pricing

Registry contract

Capabilities

google/gemini-4-argon

Protocols: 3; Chat · Responses · Messages · streaming
Tools: 2; Chat · Messages
JSON Schema: None; Not supported
Vision: Yes; Chat · Responses · Messages
Reasoning: None; No public control
Output limit: Provider; No narrower TokenSpend limit
Input limit: 1,048,576; tokens

canonical google/gemini-4-argon · revision google/gemini-4-argon · aliases gemini-4-argon

First request

Run it

Python · TokenSpend SDK

from tokenspend import TokenSpend

client = TokenSpend()
resp = client.chat.completions.create(
    model="google/gemini-4-argon",
    messages=[{"role": "user", "content": "hello"}],
)

TypeScript · TokenSpend SDK

import { TokenSpend } from "@tokenspend/sdk";

const client = new TokenSpend();
const resp = await client.chat.completions.create({
  model: "google/gemini-4-argon",
  messages: [{ role: "user", content: "hello" }]
});

curl

curl https://api.tokenspend.dev/v1/chat/completions \
  -H "content-type: application/json" \
  -H "Authorization: Bearer $TOKENSPEND_API_KEY" \
  -d '{"model":"google/gemini-4-argon","messages":[{"role":"user","content":"hello"}]}'

Claude Code integration

export ANTHROPIC_BASE_URL=https://api.tokenspend.dev
export ANTHROPIC_API_KEY=$TOKENSPEND_API_KEY
export ANTHROPIC_MODEL=google/gemini-4-argon

One request shape reaches every model. Claude Code connects as an integration with two environment variables. TokenSpend never stores prompts or responses.

Questions

How much does Gemini 4 Argon cost?

$2 per 1M input tokens and $10 per 1M output tokens, at provider list price. TokenSpend adds no markup or request fee. Managed credits carry a 5% fee when you buy them.

What is the context window of Gemini 4 Argon?

Gemini 4 Argon has a 1.05M token context window.

Does Gemini 4 Argon support tool calling?

Yes. Tool calling is supported on Chat, Messages.

Does Gemini 4 Argon support images?

Yes. Image input is supported on Chat, Messages.

Does Gemini 4 Argon support reasoning?

No. Reasoning control is not supported on Gemini 4 Argon through TokenSpend.

Does Gemini 4 Argon have prompt caching?

Yes. Cache reads cost $0.1 per 1M tokens.

When were these prices last checked?

Prices follow rate card 2026-09-29.1, effective 9/17/2026. Source: Gemini API pricing.