# Gemini 4 Argon API pricing 

[Google](https://apicostcheck.com/providers/gemini/) model · context window 1,048,576 · max input 1,048,576 · max output 65,536 tokens · vision, reasoning. Data last changed 2026-10-13. Per 1K tokens: $0.002 input, $0.01 output. 

[Atom feed](https://apicostcheck.com/models/gemini-4-argon/feed.xml) · [JSON](https://apicostcheck.com/data/models/gemini-4-argon.json)

Get notified in any feed reader. 

| | |
| --- | --- |
| Input | $2.00 / 1M tokens |
| Output | $10.00 / 1M tokens |
| Cached input | $0.10 / 1M tokens |
| Batch input | $1.00 / 1M tokens |
| Batch output | $5.00 / 1M tokens |
| Batch cached input | $0.05 / 1M tokens |
| Minimum cacheable prompt | 4,096.0 tokens |

[Calculate my cost →](https://apicostcheck.com/calculator/?model=gemini-4-argon) 

Billing rules for caching, Batch and long prompts: [Google API cost guide](https://apicostcheck.com/gemini-api-cost-calculator/). 

## Price in context

Gemini 4 Argon ranks 13 of 15 current Google models by output price, cheapest first ([Gemini 2.5 Flash Lite](https://apicostcheck.com/models/gemini-2.5-flash-lite/) is the cheapest at $0.40, [Gemini Pro (latest)](https://apicostcheck.com/models/gemini-pro-latest/) the most expensive at $12.00). Output tokens cost 5× the input price; the median across all 132 current models is 5×. Against the whole table (median $1.00 input / $3.855 output per 1M), Gemini 4 Argon is pricier on both input and output.

Cached input costs 5% of the normal input price ($0.10 vs $2.00 per 1M). In the support-chatbot scenario with 60% cache hits the month comes to $960 instead of $960 without caching (0% less). There is no separate cache-write charge: repeated prefixes are discounted automatically. The Batch API bills $1.00 input / $5.00 output per 1M (50% below the live rates) for jobs that are not time-critical; the batch-processing scenario costs $3,375 per month.

The context window is 1,048,576 tokens, roughly 2,097 pages of English text; 8% of current models accept more. The closest model from another provider by price is [GPT-6.1 Sol](https://apicostcheck.com/models/gpt-6.1-sol/) ($2.00 / $10.00); the cheapest reasoning model for the chatbot scenario is [Qwen Turbo](https://apicostcheck.com/models/qwen-turbo/) at $16.68 per month against $960 for Gemini 4 Argon.

## What it costs per month

| Scenario (per month) | Gemini 4 Argon |
| --- | --- |
| Customer support chatbot 5,000 req/day · 1,200 in · 400 out · cache 60% | $960 |
| RAG over documents 2,000 req/day · 8,000 in · 600 out · cache 30% | $1,046 |
| Coding agent 1,500 req/day · 25,000 in · 2,000 out · cache 80% | $1,440 |
| Deep reasoning 800 req/day · 3,000 in · 6,000 out · cache 20% | $1,584 |
| Batch processing 50,000 req/day · 1,500 in · 150 out · batch | $3,375 |

Adjust the numbers in the [calculator](https://apicostcheck.com/calculator/). 

## Cheaper alternatives

Lowest monthly cost for the chatbot scenario among reasoning models: 

- [Qwen Turbo](https://apicostcheck.com/models/qwen-turbo/) — $16.68/mo
- [MiMo V2.6 Flash](https://apicostcheck.com/models/mimo-v2.6-flash/) — $27.18/mo
- [GPT-5 nano](https://apicostcheck.com/models/gpt-5-nano/) — $28.14/mo
- [Gemini 2.5 Flash Lite](https://apicostcheck.com/models/gemini-2.5-flash-lite/) — $32.28/mo
- [Qwen Flash](https://apicostcheck.com/models/qwen-flash/) — $33.00/mo 

## Comparisons

[Compare Gemini 4 Argon with any model →](https://apicostcheck.com/compare/?m=gemini-4-argon) 

## Other Google models

[Gemini 3.5 Flash](https://apicostcheck.com/models/gemini-3.5-flash/), [Gemini 3.1 Pro Preview](https://apicostcheck.com/models/gemini-3.1-pro-preview/), [Gemini 2.5 Pro](https://apicostcheck.com/models/gemini-2.5-pro/), [Gemini Pro (latest)](https://apicostcheck.com/models/gemini-pro-latest/), [Gemini 3.8 Flash](https://apicostcheck.com/models/gemini-3.8-flash/), [Gemini 3.7 Flash](https://apicostcheck.com/models/gemini-3.7-flash/), [Gemini Flash (latest)](https://apicostcheck.com/models/gemini-flash-latest/), [Gemini 3.5 Flash Lite](https://apicostcheck.com/models/gemini-3.5-flash-lite/), [Gemini 3.6 Flash](https://apicostcheck.com/models/gemini-3.6-flash/), [Gemini Flash Lite (latest)](https://apicostcheck.com/models/gemini-flash-lite-latest/), [Gemini 3.1 Flash Lite](https://apicostcheck.com/models/gemini-3.1-flash-lite/), [Gemini 3 Flash Preview](https://apicostcheck.com/models/gemini-3-flash-preview/), [Gemini 2.5 Flash](https://apicostcheck.com/models/gemini-2.5-flash/), [Gemini 2.5 Flash Lite](https://apicostcheck.com/models/gemini-2.5-flash-lite/) · [All Google API prices →](https://apicostcheck.com/providers/gemini/) 

## Models at a similar price

[GPT-6.1 Sol](https://apicostcheck.com/models/gpt-6.1-sol/) ($2.00/$10.00), [Claude Sonnet 5.5](https://apicostcheck.com/models/claude-sonnet-5-5/) ($2.00/$10.00), [GPT-6 Sol](https://apicostcheck.com/models/gpt-6-sol/) ($2.00/$10.00), [Claude Sonnet 5](https://apicostcheck.com/models/claude-sonnet-5/) ($2.00/$10.00), [GPT-4o](https://apicostcheck.com/models/gpt-4o/) ($2.50/$10.00), [GPT-5.1](https://apicostcheck.com/models/gpt-5.1/) ($1.25/$10.00) 

## Price history

| Date | Change | Old | New | Change % |
| --- | --- | --- | --- | --- |
| 2026-10-13 | Added | — | — | — |

## Source and checks

| | |
| --- | --- |
| Data source | [LiteLLM price list](https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json) (MIT) |
| Official pricing | [ai.google.dev ↗](https://ai.google.dev/gemini-api/docs/pricing) |
| Last synced | 2026-10-13 20:00 UTC |
| Last price change | No price changes recorded since tracking began on 2026-10-08. |
| Cross-check | Matches models.dev |
| Official check | Not yet checked against the official page |
| Price region | Not stated by the sources |

No field of this model has been checked against an official page yet; the field-by-field table appears once a check runs.

---
Source: https://apicostcheck.com/models/gemini-4-argon/ · prices in USD per 1M tokens, synced 2026-10-13 20:00 UTC · Free to reuse with a link to https://apicostcheck.com (CC BY 4.0). Prices derived from LiteLLM's model price list, MIT License, (c) 2023 Berri AI.
