Google

Google

Gemini 4 Argon

Google's flagship reasoning model, built for complex software engineering, math and science problems, and autonomous multi-step agents. 1M context, 64K output, text, image, audio, video and file input, reasoning, tool calling, structured outputs.

Modalities

Text+Image → Text

Below release

Not established

Weights

Not published

Where it sits in the catalogue Kyma measures

Every number against every text model Kyma prices per token — a stated rule, not a chosen line-up.

Price · input#56/73

$2.70

output $13.50 · cached $0.135

median $1.013 · best $0.0494

Price · output#57/72

$13.50

per 1M tokens generated

median $3.6005 · best $0.218

Availability · 30d

median 100.0% · best 100.0%

Throughput

median 41.6 tok/s · best 63.1 tok/s

Response time

median 1.51 s · best 1.11 s

Context

1.05M

max output 65,536

published by Google, not measured here

Tick above each rail is this model, below it the other 72. Dashed rule is the field median, solid is its best. Better is left; the axis stops at the 90th percentile, so a few models sit past its right edge.

Usage

How much this model is actually called here.

Rank

#90

of 102 active models

Tokens served

74

all-time

Platform share

0.0%

of all tokens

Pricing

Pay per token. Cached input bills at this model’s own cached rate, listed below.

$2.70$5.40 /1M input$13.50$27.00 /1M output
50% off· ends Nov 30Returns to $5.40 /1M input and $27.00 /1M output on Nov 30.
Hobby10 req/day · 2K in / 500 out
~$3.65/mo
Production1,000 req/day · 2K in / 500 out
~$365/mo
Scale20,000 req/day · 2K in / 500 out
~$7,290/mo
+ Estimate your workload
1,000
2,000
500
30%

Estimated monthly cost

$318

$10.61 / day on Gemini 4 Argon

Same workload on:

Gemini 3.8 Flash$137-57%
Gemini 3.5 Flash Lite$74.92-76%

Estimates use list pricing with cached input at this model's own cached rate. Actual bills depend on real token counts, and every response includes its exact cost.

How it compares

Against the peers people actually weigh it against.

SpecGemini 4 ArgonGemini 3.8 FlashGemini 3.5 Flash Lite
Input /1M$2.70$1.013$0.405
Output /1M$13.50$5.063$3.375
Context1M1M1M
ToolsYesYesYes
ReasoningYesYesYes
Throughput108 tok/s48 tok/s

Quick start

Up and running in under two minutes.

  1. 1

    Create an API key

    Sign up and grab a key from the dashboard. Gemini 4 Argon needs a top-up — the signup credit covers the free tier.

    Get API key →
  2. 2

    Make your first request

    Drop in your key and send a chat completion — fully OpenAI-compatible.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "gemini-4-argon",
        "messages": [
          {"role": "user", "content": "Explain prompt caching in one paragraph."}
        ]
      }'
  3. 3

    Stream responses

    Add "stream": true to receive tokens as they arrive.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "gemini-4-argon",
        "stream": true,
        "messages": [{"role": "user", "content": "Hello!"}]
      }'

FAQ

Common questions about this model.

What is the context window of Gemini 4 Argon?

Gemini 4 Argon has a 1M-token context window — roughly 1542 pages of text in a single request.

How much does the Gemini 4 Argon API cost?

$2.70 per 1M input tokens and $13.50 per 1M output tokens (on offer until Nov 30, then $5.40/$27.00), with cached input at $0.135/1M — 95% off the input rate on repeated prompt prefixes. No subscription; you pay only for what you use.

Does Gemini 4 Argon support function calling?

Yes — Gemini 4 Argon supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

Are the weights for Gemini 4 Argon publicly available?

No. Google does not publish Gemini 4 Argon's weights — it is reachable through an API rather than as a file you can download and run (https://deepmind.google/models/model-cards/gemini-4-argon/, read 2026-10-13). That is Google's decision about their own product, not a limitation of Kyma.

Is Gemini 4 Argon ever served below the precision its creator released it at?

Kyma cannot say, and for this model nobody can. Google does not publish Gemini 4 Argon's weights, so there is no released checkpoint whose precision a route could be measured against. We publish "not established" rather than reading a low format as a downgrade: on several models in this catalogue a low format is exactly how the creator ships it.

How do I use Gemini 4 Argon?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to gemini-4-argon. Signing up is free, but this model needs a top-up: the $0.50 signup credit covers the free tier only.

Needs a top-up — the signup credit covers the free tier.Create account →

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