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

Gemini 3.5 Flash-Lite pricing for customer support bot

$0.003400 per call at 3,000 input / 1,000 output tokens.

Per call

$0.003400

10K calls/mo

$34

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 customer support bot spend. Prices verified daily against provider pricing pages.

Configure your usage

3,000
100100K
1,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$34
10,000 calls/month
Cost per call$0.003400
Daily cost$1
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: ~$0.003400 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 customer support bot benchmarks. Hover for details.

GPT 5.6 Luna$0.001800Gemini 3.5 Flash-Lite$0.003400Gemini 3 Flash$0.004500Claude Haiku 4.5$0.008000Gemini 3.5 Flash$0.0135Claude Sonnet 5$0.0160GPT 5.6 Terra$0.0180Gemini 3.1 Pro$0.0180GPT 5.4$0.0225Claude Sonnet 4.6$0.0240GPT 5.6 Sol$0.0320Claude Opus 4.8$0.0400GPT 5.5$0.0450Claude Fable 5$0.0800

Cheapest viable option: GPT 5.6 Luna at $0.001800/call (47% less, 85/100 quality).

What drives customer support bot cost

Support bots combine RAG's retrieved context with a chatbot's growing history, so they carry both cost curves at once. Volume is high and margins per conversation are thin, which makes the per-call rate matter more than in almost any other use case here. Caching the knowledge base and product context is the single highest-leverage change.

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 3,000/1,000 token split, output accounts for 74% of the $0.003400 per-call cost.

Complete Gemini 3.5 Flash-Lite pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.303,000
Output$2.501,000

Prompt caching: 90% off input tokens

Caching drops input cost from $0.30 to $0.03/MTok. For repeated system prompts, that saves $0.000810 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$0.003400$34$25.9$8.1
50,000 calls$0.003400$170$129.5$40.5
100,000 calls$0.003400$340$259$81
500,000 calls$0.003400$1,700$1,295$405
1,000,000 calls$0.003400$3,400$2,590$810

Gemini 3.5 Flash-Lite quality benchmarks for customer support bot

Consider alternatives for customer support bot

Scores 78/100 (rank #6 of 20). Better options exist at similar price points for customer support bot.

Top-ranked: GPT 5.6 Terra (92/100) at $0.0180/call

Performance across all task types

Gemini 3.5 Flash-Lite scores by task type. Customer Support Bot highlighted.

Classification85Extraction83Summarization79Q&A *78Code Generation55Code Review52Reasoning50Creative Writing45
Task typeConfidence scoreRank out of 20
Classification85/100#4
Extraction83/100#5
Summarization79/100#6
Q&A(current page)78/100#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 customer support bot

13 models score 80+ on customer support bot benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (47% less, 85/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Gemini
GPT 5.6 LunaGPT$0.20$1.2085/100$0.00180047% cheaper
Gemini 3 FlashGemini$0.50$3.0082/100$0.00450032% more
Claude Haiku 4.5Claude$1.00$5.0086/100$0.008000135% more
Gemini 3.5 FlashGemini$1.50$9.0084/100$0.0135297% more
Claude Sonnet 5Claude$2.00$10.0089/100$0.0160371% more
GPT 5.6 TerraGPT$2.00$12.0092/100$0.0180429% more
Gemini 3.1 ProGemini$2.00$12.0087/100$0.0180429% more
GPT 5.4GPT$2.50$15.0091/100$0.0225562% more
Claude Sonnet 4.6Claude$3.00$15.0088/100$0.0240606% more
GPT 5.6 SolGPT$4.00$20.0091/100$0.0320841% more
Claude Opus 4.8Claude$5.00$25.0085/100$0.04001076% more
GPT 5.5GPT$5.00$30.0090/100$0.04501224% more
Claude Fable 5Claude$10.00$50.0088/100$0.08002253% 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.

Gemini 3.5 Flash-Lite pricing for other use cases

See how Gemini 3.5 Flash-Lite costs change across different workload types.

Code Generation

$0.0106/call

Unit Test Generation

$0.0134/call

SQL Generation

$0.002950/call

API Generation

$0.0159/call

Code Refactoring

$0.0112/call

Code Review

$0.006500/call

PR Review

$0.009900/call

Security Review

$0.008050/call

Bug Detection

$0.006500/call

Document Summarization

$0.005500/call

PDF Summarization

$0.008250/call

Meeting Notes

$0.007400/call

Email Summarization

$0.002150/call

Chatbot

$0.003100/call

RAG Pipeline

$0.005550/call

FAQ Bot

$0.002450/call

Data Extraction

$0.003700/call

JSON Extraction

$0.002900/call

Invoice Parsing

$0.002100/call

Resume Parsing

$0.002750/call

Chain of Thought

$0.0134/call

Legal Analysis

$0.0130/call

Math Reasoning

$0.007950/call

Financial Analysis

$0.0124/call

Content Moderation

$0.000400/call

Sentiment Analysis

$0.000400/call

Categorization

$0.000615/call

Intent Detection

$0.000340/call

Copywriting

$0.005150/call

Blog Writing

$0.0203/call

Marketing Copy

$0.007740/call

Product Descriptions

$0.003900/call

Related pages

Frequently asked questions

How much does Gemini 3.5 Flash-Lite cost for customer support bot per API call?

A typical customer support bot call using Gemini 3.5 Flash-Lite costs about $0.003400 per call. This estimate uses 3,000 input tokens and 1,000 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 customer support bot?

Gemini 3.5 Flash-Lite scores 78 out of 100 on customer support bot benchmarks overall. It ranks #6 across all 20 models in our cross-provider registry. The highest-ranked model for this task is GPT 5.6 Terra from GPT. 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 customer support bot with good quality?

The most affordable model for customer support bot 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 85/100. 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 customer support bot?

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 $0.003400 to about $0.000170 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 customer support bot 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 customer support bot, typical calls use 3,000 input and 1,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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