Gemini · Fast / Budget · 1,000K context window

Gemini 3.5 Flash-Lite pricing for intent detection

$0.000340 per call at 300 input / 100 output tokens.

Per call

$0.000340

10K calls/mo

$3.4

Cache savings

90% off input

Batch savings

50% off all

Calculate your Gemini 3.5 Flash-Lite costs

Adjust token counts, volume, and discount toggles to model your intent detection spend. Prices verified daily against provider pricing pages.

Configure your usage

300
100100K
100
5050K
10,000
1001M

Estimated cost

Monthly cost
$3
10,000 calls/month
Cost per call$0.000340
Daily cost$0.1133
Input rate$0.30/MTok
Output rate$2.50/MTok
Analyze your real spend

Quick start

Call Gemini 3.5 Flash-Lite with the Google Generative AI SDK:

import google.generativeai as genai

model = genai.GenerativeModel("gemini-3.5-flash-lite")
response = model.generate_content("Your prompt here")
# Cost: ~$0.000340 per call at standard rates
# Input:  $0.30/MTok
# Output: $2.50/MTok

How Gemini 3.5 Flash-Lite compares on cost

Per-call cost for all models scoring 50+ on intent detection benchmarks. Hover for details.

Cheapest viable option: GPT 5.6 Luna at $0.000180/call (47% less, 91/100 quality).

What drives intent detection cost

Intent classification sits in the hot path of a conversational product, so latency constrains model choice more than price does: batch processing is not available to you when the user is waiting. That makes the fast tier the natural fit on both axes. The intent list is constant and belongs in the cached prefix.

For Gemini 3.5 Flash-Lite specifically, that means output tokens cost 8.3x more than input, at $2.50 vs $0.30 per MTok. At this use case’s 300/100 token split, output accounts for 74% of the $0.000340 per-call cost.

Complete Gemini 3.5 Flash-Lite pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.30300
Output$2.50100

Prompt caching: 90% off input tokens

Caching drops input cost from $0.30 to $0.03/MTok. For repeated system prompts, that saves $0.000081 per call.

Batch API: 50% off all tokens

Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.000340$3.4$2.59$0.8100
50,000 calls$0.000340$17$12.95$4.05
100,000 calls$0.000340$34$25.9$8.1
500,000 calls$0.000340$170$129.5$40.5
1,000,000 calls$0.000340$340$259$81

Gemini 3.5 Flash-Lite quality benchmarks for intent detection

Gemini 3.5 Flash-Lite is a solid pick for intent detection

Scores 85/100 (rank #4 of 20). Good balance of quality and cost for intent detection.

Top-ranked: Gemini 3.5 Flash (92/100) at $0.001350/call

Performance across all task types

Gemini 3.5 Flash-Lite scores by task type. Intent Detection highlighted.

Classification *85Extraction83Summarization79Q&A78Code Generation55Code Review52Reasoning50Creative Writing45
Task typeConfidence scoreRank out of 20
Classification(current page)85/100#4
Extraction83/100#5
Summarization79/100#6
Q&A78/100#6
Code Generation55/100#8
Code Review52/100#8
Reasoning50/100#8
Creative Writing45/100#9

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for intent detection

13 models score 80+ on intent detection benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (47% less, 91/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Gemini
GPT 5.6 LunaGPT$0.20$1.2091/100$0.00018047% cheaper
Gemini 3 FlashGemini$0.50$3.0088/100$0.00045032% more
Claude Haiku 4.5Claude$1.00$5.0090/100$0.000800135% more
Gemini 3.5 FlashGemini$1.50$9.0092/100$0.001350297% more
Claude Sonnet 5Claude$2.00$10.0086/100$0.001600371% more
GPT 5.6 TerraGPT$2.00$12.0089/100$0.001800429% more
Gemini 3.1 ProGemini$2.00$12.0086/100$0.001800429% more
GPT 5.4GPT$2.50$15.0088/100$0.002250562% more
Claude Sonnet 4.6Claude$3.00$15.0084/100$0.002400606% more
GPT 5.6 SolGPT$4.00$20.0086/100$0.003200841% more
Claude Opus 4.8Claude$5.00$25.0080/100$0.0040001076% more
GPT 5.5GPT$5.00$30.0085/100$0.0045001224% more
Claude Fable 5Claude$10.00$50.0082/100$0.0080002253% more

About Gemini 3.5 Flash-Lite

Provider

Gemini

Tier

Fast / Budget

Context

1,000K tokens

Released

Jun 2026

Other models from Gemini

ModelTierInput $/MTokOutput $/MTokContext
Gemini 3.1 ProMid-tier$2.00$12.001,000K
Gemini 3.5 FlashFast / Budget$1.50$9.001,000K
Gemini 3 FlashFast / Budget$0.50$3.001,000K

You can compare Gemini 3.5 Flash-Lite head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions

How much does Gemini 3.5 Flash-Lite cost for intent detection per API call?

A typical intent detection call using Gemini 3.5 Flash-Lite costs about $0.000340 per call. This estimate uses 300 input tokens and 100 output tokens at standard rates. Standard rates are $0.30 per million input tokens and $2.50 per million output tokens.

Is Gemini 3.5 Flash-Lite the best model for intent detection?

Gemini 3.5 Flash-Lite scores 85 out of 100 on intent detection benchmarks overall. It ranks #4 across all 20 models in our cross-provider registry. The highest-ranked model for this task is Gemini 3.5 Flash from Gemini. That model scores 92/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.

What is the cheapest model for intent detection with good quality?

The most affordable model for intent detection above 80/100 quality is GPT 5.6 Luna. It comes from GPT at $0.20 per million input tokens. Output costs $1.20 per million tokens with a quality score of 91/100. Switching from Gemini 3.5 Flash-Lite to GPT 5.6 Luna saves about 47% per API call.

How can I reduce my Gemini 3.5 Flash-Lite costs for intent detection?

Three strategies lower Gemini 3.5 Flash-Lite costs for this task type effectively. Prompt caching gives a 90% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.000340 to about $0.000017 per call.

How does Gemini 3.5 Flash-Lite pricing compare to other Gemini models?

Gemini has 3 other models alongside Gemini 3.5 Flash-Lite today: Gemini 3.1 Pro at $2.00/$12.00 per million tokens (mid-tier), Gemini 3.5 Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini 3 Flash at $0.50/$3.00 per million tokens (fast / budget). The right choice depends on whether your intent detection workload prioritizes quality, cost, or speed.

What context window does Gemini 3.5 Flash-Lite support?

Gemini 3.5 Flash-Lite supports a context window of 1,000K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For intent detection, typical calls use 300 input and 100 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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