Gemini 4 Argon

GA

GA/stable ('Stable: gemini-4-argon' on the model page; the October 13, 2026 release note is headed 'Gemini 4 Argon (gemini-4-argon) generally available (GA)'), described by Google as 'our flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, autonomous multi-step agents, and long decode up to 1M tokens'. THE PRICE FIELDS CARRY THE INTRODUCTORY COLUMN IN FORCE THROUGH 2026-11-30, not the later one — Google's pricing page publishes a two-date schedule: paid-tier Standard is $2.00 in / $10.00 out per 1M (output including thinking tokens) with context caching $0.10/1M through November 30, 2026, doubling to $4.00 / $20.00 / $0.20 starting December 1, 2026; the 'What's new in Gemini 4 Argon' page calls the first column 'an introductory price'. A midnight boundary, so there is no intra-day error window; scripts/check-google-prices.mjs resolves the schedule against the system clock and will report the row as DRIFT on 2026-12-01 without anyone remembering. Other published tiers, none of which fit the per-MTok fields, on the same two dates: Batch and Flex $1.00 in / $5.00 out (caching $0.05) then $2.00 / $10.00 (caching $0.10); Priority $3.60 / $18.00 (caching $0.18) then $7.20 / $36.00 (caching $0.36). Caching is implicit only — Google states explicit caching is not supported, so no cache storage fee is published. Grounding with Google Search or Maps: 5,000 requests/month free shared across all Gemini 3 and newer models, then $14 per 1,000. Not available on the Free tier (every free-tier cell reads 'Not available') nor on the Google AI Pro plan. Spec table gives a 1,048,576-token context window that Google labels a 'unified input and output token limit', and max output 65,536 (default synchronous) / up to 1,048,576 with long decode — max_output_tokens carries the default synchronous figure. Inputs text/image/video/audio/PDF, output text; thinking supported at low, medium and high (default medium per the What's-new page); Live API, audio generation and image generation not supported, computer use supported in preview. Released 2026-10-13 per the API release notes; the model page's 'Latest update' field carries it more coarsely as 'October 2026'. Google publishes no knowledge cutoff on the model page, pricing page or release note, so that stays null. Google announces no deprecation or shutdown for it and names no model it replaces.

Gemini 4 Argon by Google costs $2 per 1M input tokens and $10 per 1M output tokens ($4/1M blended), with a 1.0M (1.048.576-token) context window. It is generally available (GA).

Last verified: 15 Oct 2026 · sourced from official provider documentation

Provider
Google
Status
GA
Input price
$2 / 1M tokens
Output price
$10 / 1M tokens
Cached input
$0.1 / 1M tokens
Blended price
$4 / 1M tokens
Context window
1.048.576 tokens (1.0M)
Max output
65.536 tokens
Modality
text, image, video, audio, pdf
Open weights
No — API only
Knowledge cutoff
—
Released
13 Oct 2026
API string
gemini-4-argon

Source: Google official documentation ↗

FAQ

Gemini 4 Argon — questions & answers

How much does Gemini 4 Argon cost?

Gemini 4 Argon is priced at $2 per 1M input tokens and $10 per 1M output tokens ($4/1M blended at a 3:1 input-to-output ratio), with cached input at $0.1 per 1M tokens.

What is the context window of Gemini 4 Argon?

Gemini 4 Argon has a 1.048.576-token context window (1.0M), with up to 65.536 output tokens per request.

Is Gemini 4 Argon deprecated?

No — Gemini 4 Argon is generally available (GA) and not currently scheduled for deprecation or retirement in our tracker.

Does Gemini 4 Argon support image or vision input?

Yes — Gemini 4 Argon accepts image input. Listed modalities: text, image, video, audio, pdf.

Can I self-host Gemini 4 Argon?

No — Gemini 4 Argon is proprietary. Its weights are not publicly released, so it is available only through Google's API (or hosted partners), not for self-hosting.

What is the API model string for Gemini 4 Argon?

The API model identifier for Gemini 4 Argon is "gemini-4-argon" when calling Google's API.