A rate per million tokens is not a budget. The calculator takes your request volume, prompt size and cache hit rate and gives you a monthly figure.
Gemini 4 Argon API pricing (October 2026)
Price runs through 30 Nov 2026; from 1 Dec 2026 it doubles to $4 in / $20 out (cache read $0.20). Implicit caching only. Input and output share one 1,048,576-token window; output defaults to 65,536 tokens, more with long decode.
What it costs at real volumes
A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.
Specifications
- Provider
- Google Gemini
- Context window
- 1.0M tokens
- Max output
- 66K tokens
- Tier
- Flagship
- Status
- GA
- Blended $/1M (3:1)
- $4.00
- Cache break-even, caching each turn
- 0%, caching always saves
- Prices verified
- 30 Oct 2026
Source: Google Gemini pricing. Finitizer is not affiliated with Google Gemini.
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Frequently asked questions
How much does Gemini 4 Argon cost per 1M tokens?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens at Google Gemini list prices. Output is 5.0x the input rate, so the input:output ratio of a workload drives the real cost more than the headline price.
Does Gemini 4 Argon support prompt caching?
Yes. Cached input is billed at $0.100 per million tokens, 20x cheaper than uncached input. There is no cache-write premium, so caching is never a net loss.
What is the batch discount for Gemini 4 Argon?
Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $1.00 and output to $5.00 per million tokens.
What is Gemini 4 Argon's context window?
1.0M tokens of context with up to 66K output tokens per request. A larger context window raises the ceiling on what you can send, not the price per token, but filling it on every request is one of the most common causes of an unexpected bill.
Running Gemini 4 Argon in production?
Finitizer Tokenomics reads what this model actually costs you from your own bills and exports, shows which workload, team or API key is spending it, flags a spike or a new spend source the day your data shows it, and forecasts where the month will land.
See Finitizer Tokenomics