Start free

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

Gemini 3.5 Flash-Lite pricing for sentiment analysis

$0.000400 per call at 500 input / 100 output tokens.

Per call

$0.000400

10K calls/mo

$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 sentiment analysis spend. Prices verified daily against provider pricing pages.

Configure your usage

500
100100K
100
5050K
10,000
1001M

Estimated cost

Monthly cost
$4
10,000 calls/month
Cost per call$0.000400
Daily cost$0.1333
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: ~$0.000400 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 sentiment analysis benchmarks. Hover for details.

GPT 5.6 Luna$0.000220Gemini 3.5 Flash-Lite$0.000400Gemini 3 Flash$0.000550Claude Haiku 4.5$0.001000Gemini 3.5 Flash$0.001650Claude Sonnet 5$0.002000GPT 5.6 Terra$0.002200Gemini 3.1 Pro$0.002200GPT 5.4$0.002750Claude Sonnet 4.6$0.003000GPT 5.6 Sol$0.004000Claude Opus 4.8$0.005000GPT 5.5$0.005500Claude Fable 5$0.0100

Cheapest viable option: GPT 5.6 Luna at $0.000220/call (45% less, 91/100 quality).

What drives sentiment analysis cost

Short text in, a label or score out: the cheapest shape an API call can take. Output pricing is irrelevant at this size. Because these run in bulk over historical data as often as in real time, the batch API discount typically applies, and the effective rate lands well below list.

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 500/100 token split, output accounts for 63% of the $0.000400 per-call cost.

Complete Gemini 3.5 Flash-Lite pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.30500
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 $0.000135 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$0.000400$4$2.65$1.35
50,000 calls$0.000400$20$13.25$6.75
100,000 calls$0.000400$40$26.5$13.5
500,000 calls$0.000400$200$132.5$67.5
1,000,000 calls$0.000400$400$265$135

Gemini 3.5 Flash-Lite quality benchmarks for sentiment analysis

Gemini 3.5 Flash-Lite is a solid pick for sentiment analysis

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

Top-ranked: Gemini 3.5 Flash (92/100) at $0.001650/call

Performance across all task types

Gemini 3.5 Flash-Lite scores by task type. Sentiment Analysis 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 sentiment analysis

13 models score 80+ on sentiment analysis benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (45% less, 91/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Gemini
GPT 5.6 LunaGPT$0.20$1.2091/100$0.00022045% cheaper
Gemini 3 FlashGemini$0.50$3.0088/100$0.00055038% more
Claude Haiku 4.5Claude$1.00$5.0090/100$0.001000150% more
Gemini 3.5 FlashGemini$1.50$9.0092/100$0.001650313% more
Claude Sonnet 5Claude$2.00$10.0086/100$0.002000400% more
GPT 5.6 TerraGPT$2.00$12.0089/100$0.002200450% more
Gemini 3.1 ProGemini$2.00$12.0086/100$0.002200450% more
GPT 5.4GPT$2.50$15.0088/100$0.002750587% more
Claude Sonnet 4.6Claude$3.00$15.0084/100$0.003000650% more
GPT 5.6 SolGPT$4.00$20.0086/100$0.004000900% more
Claude Opus 4.8Claude$5.00$25.0080/100$0.0050001150% more
GPT 5.5GPT$5.00$30.0085/100$0.0055001275% more
Claude Fable 5Claude$10.00$50.0082/100$0.01002400% 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

Customer Support Bot

$0.003400/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

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 sentiment analysis per API call?

A typical sentiment analysis call using Gemini 3.5 Flash-Lite costs about $0.000400 per call. This estimate uses 500 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 sentiment analysis?

Gemini 3.5 Flash-Lite scores 85 out of 100 on sentiment analysis 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 sentiment analysis with good quality?

The most affordable model for sentiment analysis 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 45% per API call.

How can I reduce my Gemini 3.5 Flash-Lite costs for sentiment analysis?

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 $0.000400 to about $0.000020 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 sentiment analysis 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 sentiment analysis, typical calls use 500 input and 100 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

Track what you spend on AI

This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.

Free spend teardownStart free dashboard