Source-tracked model comparison

Gemini 3.5 Flash vs Gemini 3.1 Flash-Lite: which costs less for classification routing?

Compare verified pricing and model limits for routing between current Gemini speed and economy tiers. The cost example uses a classification and routing workload and does not assume equal model quality.

Direct cost answer: Gemini 3.1 Flash-Lite is estimated at $147.50 per month and Gemini 3.5 Flash at $885.00 for 700 input tokens, 80 output tokens, and 500,000 monthly requests. Gemini 3.1 Flash-Lite is $737.50 lower under these assumptions. This does not identify a quality winner.
Same-provider alternativesClassification and routingSources checked 2026-07-14 / 2026-07-14
Tracked facts

Pricing and model limits

Prices are USD per 1M tokens under each model's verified default profile.

FieldGemini 3.1 Flash-LiteGemini 3.5 Flash
ProviderGoogleGoogle
API model IDgemini-3.1-flash-litegemini-3.5-flash
Input / 1M$0.25$1.50
Cached input / 1M$0.025$0.15
Output / 1M$1.50$9.00
Context window1,048,576 tokens1,048,576 tokens
Maximum output65,536 tokens65,536 tokens
Accepted inputtext, image, audiotext
Example workload

Classification and routing cost scenario

700 input and 80 output tokens per request, 500,000 monthly requests, and 0% cached input.

Google

Gemini 3.1 Flash-Lite

$147.50 / month
Input cost
$87.50
Output cost
$60.00
Per 1,000 calls
$0.295
Pricing profile
standard
View model details
Google

Gemini 3.5 Flash

$885.00 / month
Input cost
$525.00
Output cost
$360.00
Per 1,000 calls
$1.77
Pricing profile
standard
View model details

Cost result: Gemini 3.1 Flash-Lite is $737.50 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.

StackLens assessment

Questions to answer before choosing

  • Which classifications need the higher tier?
  • Can uncertain cases escalate automatically?
  • Does measured fallback volume preserve the expected savings?
Workload caveat

What this estimate leaves out

Quality and latency are not assumed equal across models; validate labels on a representative evaluation set.

Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.