How much does Gemini 4 Argon cost?

Gemini 4 Argon costs $2 per 1 million input tokens and $10 per 1 million output tokens. This pricing is set by Google.

What tokenizer does Gemini 4 Argon use?

Gemini 4 Argon uses the cl100k_base tokenizer. This tokenizer has a vocabulary of ~100,000 tokens and is widely used across many models.

What is Gemini 4 Argon's context window?

Gemini 4 Argon supports a context window of 1.0M tokens (1,048,576 tokens). The maximum output length is 1.0M tokens.

How does Gemini 4 Argon compare to other models?

You can compare Gemini 4 Argon's pricing and capabilities against other LLMs in the comparison table above, or visit the full pricing page for a side-by-side view of all models.

How do I count tokens for Gemini 4 Argon?

Use the token counter at the top of this page or visit the homepage calculator. Paste your text and it will show the exact token count and cost for Gemini 4 Argon using the cl100k_base tokenizer.

Gemini 4 Argon

Last verified October 1, 2026 · Google pricing ↗

$2.00/1M input · $10.00/1M output · 1.0M context · Google

Limited access

Not generally available

Gemini 4 Argon is not on Google’s open price list. Access is gated to vetted partners or a waitlist, so the rate below is what those customers pay rather than something you can sign up for. It is excluded from the calculator’s default model list and from every ranking.

Google’s own page ↗

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Alternatives to Gemini 4 Argon

Cheaper Alternative

GPT-5.1

$1.25 in · $10.00 out · OpenAI

6% cheaper

Premium Upgrade

GPT-4o

$2.50 in · $10.00 out · OpenAI

Premium tier from OpenAI

Same Provider

Gemini 2.5 Pro

$1.25 in · $10.00 out · Google

6% cheaper in Google ecosystem

Pricing Details

GoogleAnnounced September 30, 2026, first Gemini 4 model. INTRODUCTORY card $2.00 input, $0.10 cached input (95% off), $10.00 output, identical to GPT-6.1 Sol on all three lines. 'After the introductory period expires' it becomes $4.00/$20.00 with the same 95% cache discount ($0.20), identical to Claude Opus 5.5 on all three lines. NO end date published for the intro price (Gemini 3.8 Flash's intro card printed Dec 31), so priceSchedule is not set; budget at $4/$20. Not yet published: model ID, batch/flex rates, cache storage rate, any long-context price step (Gemini 3.1 Pro bills $4/$18 over 200K), free tier, thinking levels. Rates come from Google's launch post; as of 2026-10-01 Argon has no row on ai.google.dev pricing/models or Vertex AI pricing. ACCESS: Fairwind Program (vetted cyber defenders) and early testers only; paid Gemini API customers and AI Ultra next, no dates. Context 1M per Artificial Analysis and Vals (Google does not state it). Max output: Google says up to 1M, up from 64K, via a Long Decode Continuation API feature that resumes long answers across calls; Vals lists 262K, likely a per-call cap. Artificial Analysis Intelligence Index v4.3.2 (high, the only setting tested, read 2026-10-01): 53 at $1.99 per task at intro prices, $3.98 at $4/$20; ~110M output tokens on the index (~62K/task vs ~27K for GPT-6 Astra max). Same score as Astra max ($3.26); GPT-6.1 Sol max 52 at $0.72; Opus 5.5 high 54 at $1.82. AA-Omniscience hallucination rate 15%. Vals Index 68.90% (#1 of 41) at $15.68 per test (Vals lists $4/$20; which rate the cost uses is unstated). Google-reported (highest thinking): DeepSWE v1.1 77.9, FrontierSWE v2 55.0, Terminal-Bench 4.0 57.4, Terminal-Bench Science 0.1 57.6, AutomationBench 51.3, Harvey Legal Agent 19.6, OSWorld-2.0 offline 69.2, GraphWalks 256K-1M 84.2, LVBench 91.7.

Input / 1M tokens

Output / 1M tokens

$10

Context Window

1.0M

Max Output

1.0M

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Price History

Launched at current price on 2026-09-30. No price changes recorded since.

Frequently Asked Questions

Common questions about Gemini 4 Argon pricing and usage