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Gemini 2.5 Flash Lite API pricing

Published on-demand rates for Google's gemini/gemini-2.5-flash-lite, captured 2026-09-21 from public pricing data and committed to our archive. Context window 1.05M tokens; first observed in our archive 2025-07-28.

MeterUSD per 1M tokens
Input$0.100
Output$0.400
Cached input$0.010

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%$0.110
Chat500k / 500k30%$0.237
Content200k / 800k20%$0.336
Agent900k / 100k85%$0.061

Compare every model on these profiles →

Observed rate history

ObservedInputOutputCached input
2025-07-28$0.100$0.400$0.025entered our archive
2026-01-26$0.100$0.400$0.010repricing observed

Dates are when we observed the rate in our own snapshots, which can lag the provider's announcement. Rates per 1M tokens.

What the record shows

We have observed one change to Gemini 2.5 Flash Lite's rates since it entered our archive on 2025-07-28. The most recent, on 2026-01-26, left the output rate unchanged.

Against the 40 models we price, it is the 6th cheapest for retrieval-shaped work, which reads a great deal and writes little, and the 7th 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 2nd cheapest of the 7 models we track on this workload, so 1 cheaper and 5 more expensive options sit on the same account behind the same key.

No model we price offers a larger context window, so a request too long for Gemini 2.5 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 $0.010 against a standard input rate of $0.100, a 90% 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 2.5 Flash Lite on a retrieval workload, cheaper and more expensive alike. Cost only; we publish no quality score.

ModelProviderInputOutputvs Gemini 2.5 Flash Lite
Ministral 3 14BMistral$0.200$0.2009% less
GPT 5 NanoOpenAI$0.050$0.40014% less
Gemini 2.0 Flash LiteGoogle$0.075$0.30019% less
Devstral SmallMistral$0.100$0.30028% 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 →

No affiliate or referral arrangements: the console link carries no parameters and nothing on this page is paid placement. Gemini 2.5 Flash Lite is a trademark of its owner; LLMPrice.io is independent and unaffiliated.