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 3.5 Flash-Lite API pricing (October 2026)

Prices verified 12 Oct 2026

Cache storage $1.00/hour not modeled.

Input

$0.300

per 1M tokens

Output

$2.50

per 1M tokens

Cached input

$0.030

per 1M tokens

Batch discount

50% off

async batch endpoint

What it costs at real volumes

A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.

Volume	Per request	Per month	Per year
10K requests/day	$0.00099	$301.36	$3,616.27	Adjust →
100K requests/day	$0.00099	$3,013.56	$36.2K	Adjust →
1M requests/day	$0.00099	$30.1K	$361.6K	Adjust →

Specifications

Provider: Google Gemini
Context window: 1.0M tokens
Max output: 66K tokens
Tier: small
Status: GA
Blended $/1M (3:1): $0.850
Cache break-even hit rate: 0%, caching always saves
Prices verified: 12 Oct 2026

Source: Google Gemini pricing. Finitizer is not affiliated with Google Gemini.

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Frequently asked questions

How much does Gemini 3.5 Flash-Lite cost per 1M tokens?

Gemini 3.5 Flash-Lite costs $0.300 per million input tokens and $2.50 per million output tokens at Google Gemini list prices. Output is 8.3x the input rate, so the input:output ratio of your workload drives the real cost more than the headline price.

Does Gemini 3.5 Flash-Lite support prompt caching?

Yes. Cached input is billed at $0.030 per million tokens, 10x cheaper than uncached input. There is no cache-write premium, so caching is never a net loss.

What is the batch discount for Gemini 3.5 Flash-Lite?

Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $0.150 and output to $1.25 per million tokens.

What is Gemini 3.5 Flash-Lite'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 3.5 Flash-Lite 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 how Finitizer works