Gemini 4 argon API pricing

What it costs on a real workload

Per 1M tokens processed, at the rates above. How the four profiles are defined.

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Observed rate history

No repricing observed since this model entered our archive on 2026-10-14. When a rate moves, the change appears here and on the sitewide ticker.

What the record shows

Gemini 4 argon has not repriced once since it entered our archive on 2026-10-14. That is the ordinary case rather than the exception: providers ship new models at lower rates far more often than they cut the price of one already in service, which is why a cheaper option usually arrives as a new name rather than as a smaller number on this page.

Against the 42 models we price, it is the 30th cheapest for retrieval-shaped work, which reads a great deal and writes little, and the 32nd cheapest for content-shaped work, which does the reverse. The two are close, so it holds its position whichever way your workload leans.

It charges 5.0 times more for output than for input, against a median of 5.0 times across the set. That is close to typical for the models we track.

Inside Google's own lineup it is the 6th cheapest of the 7 models we track on this workload, so 5 cheaper and 1 more expensive option sits on the same account behind the same key.

2 other models we price charge exactly $2.00 in and $10.00 out: Claude Sonnet 5.5 and GPT 6.1 Sol. Where a rate ties exactly, price has stopped being the deciding factor and this site has nothing further to tell you: that choice comes down to your own evaluations, which we do not run and do not score.

Cached input reads at $0.100 against a standard input rate of $2.00, a 95% discount on the part of your prompt that repeats.

It accepts image input, but Google publishes no rule for how images become tokens, so we will not price a scanned page on it. That is a gap in the provider's documentation rather than a limit of the model, and it is the reason this model is excluded from image estimates in our estimator instead of being given a plausible figure.

Its 1.05M token context window holds roughly 786,000 words of English text in a single request. A workload that does not fit cannot run here at any price, which is a capability limit rather than a cost one.

Priced near this one

Closest to Gemini 4 argon on a retrieval workload, cheaper and more expensive alike. Cost only; we publish no quality score.

Retrieval profile: 800k in, 200k out, 70% cached where offered.