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Google: Gemini Flash Latest API Pricing

Google: Gemini Flash Latest costs $0.750 per 1M input tokens and $3.75 per 1M output tokens (cache reads: $0.075). Context window: 1.0M. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutputinput +100% over windowoutput +100%

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
2 price changes in the last 59 daily snapshots
Last move (2026-08-29): input +100%
Net input drift: +100% since 2026-08-23

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.750
Output / 1M tokens
$3.75
Context window
1.0M
Max output
66K

Token economics

Token typePricevs base input
Standard input$0.750—
Cache read$0.075−90%
Cache write (5m)$0.042-94%
Output$3.75—
Web search tool$14/1k searches—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Always on (mandatory)
Effort levels:highmediumlow

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would Google: Gemini Flash Latest cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$21.00
Coding agent5,0008,000 / 2,000$67.50
RAG pipeline30,0004,000 / 500$146.25
Doc summarizer2,00020,000 / 1,000$37.50

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Google: Gemini Flash Latest

This model always redirects to the latest model in the Gemini Flash family.

Compare Google: Gemini Flash Latest with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Google: Gemini Flash Latest cost?

Google: Gemini Flash Latest costs $0.750 per 1M input tokens and $3.75 per 1M output tokens; cached input tokens cost $0.075 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

1.0M tokens, with up to 66K output tokens per response. That's roughly 1311 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.075/1M, about 90% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 98% on a typical workload with comparable quality.

Official resources