Google route

gemini-4-argon

Gemini 4 Argon API access.

Google's new frontier model. Introductory $2 / $10 per 1M tokens through 30 November 2026, then $4 / $20 from 1 December 2026. Thinking tokens bill as output. 1M context, 65,536 max output per response, reasoning_effort low / medium / high. See the Gemini 4 Argon benchmarks and API pricing notes.

Route status Available

#45

Cost rank / 63

premium

Cost band

Published route economicsUSD / 1M tokens

Input / 1M tokens

$2.00

Output / 1M tokens

$10.00

Context window

1M

Provider

Google

Google introductory pricing through November 30, 2026; the published rate becomes $4 input / $20 output per 1M tokens on December 1, 2026. Thinking tokens are billed as output. Set reasoning_effort to low, medium (default) or high. Output is capped at 64K tokens per response.

Workload calculator

Put the token rate into context.

These examples apply the published input and output rates directly. Actual cost follows the exact tokens your client sends and the model returns.

This route is the 45th cheapest of 63 comparable text models and cheaper than 15 on the same key. Its context window ranks 8th of 63.

Cost simulationPublished base rate

Short request

$0.030

10K input + 1K output

Agent turn

$0.30

100K input + 10K output

Exact token billing

No request minimum

One model ID change

OpenAI compatible

Cost neighbourhood

Nearby routes, same workload.

Every comparison uses the same 100K-input / 10K-output turn. Changing route is a one-line model ID edit.

Price does not measure task quality. For generation routes, see GPT Image 2.

First request

Route it in one call.

Use any OpenAI SDK or tool. Keep the request shape, point the base URL at RouterPlex, and set the model ID shown here.

Read the quickstart
curl /chat/completions
curl https://api.routerplex.com/v1/chat/completions \
-H "Authorization: Bearer $ROUTERPLEX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-4-argon",
"messages": [{"role": "user", "content": "Hello!"}]
}'

Route notes

Questions before production traffic.

Same endpoint, every route
01How much does the Gemini 4 Argon API cost?+

Through RouterPlex, Gemini 4 Argon costs $2.00 per 1M input tokens and $10.00 per 1M output tokens — the vendor list price with 0% markup, billed per token from a prepaid balance you top up from $5. Google introductory pricing through November 30, 2026; the published rate becomes $4 input / $20 output per 1M tokens on December 1, 2026. Thinking tokens are billed as output. Set reasoning_effort to low, medium (default) or high. Output is capped at 64K tokens per response.

02What does one Gemini 4 Argon agent turn cost?+

A 100K-token input with a 10K-token reply costs about $0.30 on Gemini 4 Argon. That makes it the 45th cheapest of 63 comparable text models on RouterPlex, roughly 27.8× the cost of the cheapest option (DeepSeek V4 Flash).

03What is a cheaper alternative to Gemini 4 Argon?+

Grok 4.7 from xAI is the closest cheaper model on RouterPlex — $0.26 per agent turn against $0.30 for Gemini 4 Argon, at $2.00/1M input and $6.00/1M output. Both run on the same key and the same endpoint, so switching is a one-line model ID change.

04Is Gemini 4 Argon cheaper than Gemini 3.1 Pro?+

Yes. Per agent turn, Gemini 4 Argon costs about $0.30 against $0.32 for Gemini 3.1 Pro — 6% less.

05What is the context window of Gemini 4 Argon?+

Gemini 4 Argon supports a 1M token context window on RouterPlex, the 8th largest of the 63 models that publish one.

06Can I use Gemini 4 Argon with the OpenAI SDK?+

Yes. RouterPlex serves Gemini 4 Argon through an OpenAI-compatible endpoint at https://api.routerplex.com/v1 — point any OpenAI SDK or tool at that base URL with your RouterPlex key and set model to "gemini-4-argon".

Deploy this route

Put Gemini 4 Argon behind one key.

Top up from $5 with no subscription required.