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Gemini 2.0 Flash Lite API pricing 001

Published on-demand rates for Google's gemini/gemini-2.0-flash-lite-001, captured 2026-09-21 from public pricing data and committed to our archive. Context window 1.05M tokens; first observed in our archive 2026-02-16.

MeterUSD per 1M tokens
Input$0.075
Output$0.300
Cached input$0.019

Standard on-demand rates. Excludes batch endpoints and negotiated pricing; confirm on Google's pricing page before committing.

What it costs on a real workload

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

ProfileIn / out mixCached shareCost
Retrieval800k / 200k70%$0.088
Chat500k / 500k30%$0.179
Content200k / 800k20%$0.253
Agent900k / 100k85%$0.054

Compare every model on these profiles →

Observed rate history

No repricing observed since this model entered our archive on 2026-02-16. When a rate moves, the change appears here and on the sitewide ticker.

What the record shows

Gemini 2.0 Flash Lite has not repriced once since it entered our archive on 2026-02-16. 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 40 models we price, it is the 3rd cheapest for retrieval-shaped work, which reads a great deal and writes little, and the 4th 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 4.0 times more for output than for input, against a median of 5.0 times across the set. That is narrower than most, so it punishes long answers less than the typical model does.

Inside Google's own lineup it is the cheapest of the 7 models we track on this workload, which makes it the floor to measure the rest of the house against before looking outside it at all.

No model we price offers a larger context window, so a request too long for Gemini 2.0 Flash Lite is too long for anything we track, and the answer is to change the shape of the request rather than the model.

Cached input reads at $0.019 against a standard input rate of $0.075, a 75% discount on the part of your prompt that repeats.

It accepts image input and Google publishes a tokenisation rule for it, so a scanned page can be priced honestly: about 1,032 tokens for a US Letter page at 200 DPI, before the instructions you send with it.

Its 1.05M token context window holds roughly 786,000 words of English text in a single request, or about 1,016 scanned pages at the per-page figure above. 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 2.0 Flash Lite on a retrieval workload, cheaper and more expensive alike. Cost only; we publish no quality score.

ModelProviderInputOutputvs Gemini 2.0 Flash Lite
GPT 5 NanoOpenAI$0.050$0.4007% more
Ministral 3 14BMistral$0.200$0.20012% more
Ministral 3 8BMistral$0.150$0.15016% less
Gemini 2.5 Flash LiteGoogle$0.100$0.40024% more

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

Price your own prompt on it Estimate a whole project Plain rate card Google's console →

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