Gemini · Fast / Budget · 1,000K context window
$0.0150 per call at 4,000 input / 1,000 output tokens.
Per call
$0.0150
10K calls/mo
$150
Cache savings
75% off input
Batch savings
50% off all
Adjust token counts, volume, and discount toggles to model your data extraction spend. Pricing updated weekly.
Call Gemini 3.5 Flash with the Google Generative AI SDK:
import google.generativeai as genai
model = genai.GenerativeModel("gemini-3.5-flash")
response = model.generate_content("Your prompt here")
# Cost: ~$0.0150 per call at standard rates
# Input: $1.50/MTok
# Output: $9.00/MTokPer-call cost for all models scoring 50+ on data extraction benchmarks. Hover for details.
Cheapest viable option: Gemini 3.5 Flash-Lite at $0.002500/call (83% less, 83/100 quality).
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $1.50 | 4,000 |
| Output | $9.00 | 1,000 |
Caching drops input cost from $1.50 to $0.38/MTok. For repeated system prompts, that saves $0.004500 per call.
Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.
| Monthly volume | Cost per call | Standard monthly | Cached monthly | You save with caching |
|---|---|---|---|---|
| 10,000 calls | $0.0150 | $150 | $105 | $45 |
| 50,000 calls | $0.0150 | $750 | $525 | $225 |
| 100,000 calls | $0.0150 | $1,500 | $1,050 | $450 |
| 500,000 calls | $0.0150 | $7,500 | $5,250 | $2,250 |
| 1,000,000 calls | $0.0150 | $15,000 | $10,500 | $4,500 |
Use Gemini 3.5 Flash for data extraction
Scores 90/100 (rank #1 of 14). Strong pick for production data extraction workloads.
Top-ranked: GPT 5.6 Terra (90/100) at $0.0250/call
Gemini 3.5 Flash scores by task type. Data Extraction highlighted.
| Task type | Confidence score | Rank out of 14 |
|---|---|---|
| Classification | 92/100 | #1 |
| Extraction(current page) | 90/100 | #1 |
| Summarization | 85/100 | #3 |
| Q&A | 84/100 | #5 |
| Code Generation | 68/100 | #7 |
| Code Review | 65/100 | #6 |
| Reasoning | 60/100 | #6 |
| Creative Writing | 55/100 | #6 |
13 models score 80+ on data extraction benchmarks, sorted by input rate. Cheapest: Gemini 3.5 Flash-Lite (83% less, 83/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs Gemini |
|---|---|---|---|---|---|---|
| Gemini 3.5 Flash-Lite | Gemini | $0.25 | $1.50 | 83/100 | $0.002500 | 83% cheaper |
| Gemini 3 Flash | Gemini | $0.50 | $3.00 | 86/100 | $0.005000 | 67% cheaper |
| Claude Haiku 4.5 | Claude | $1.00 | $5.00 | 88/100 | $0.009000 | 40% cheaper |
| GPT 5.6 Luna | GPT | $1.00 | $6.00 | 89/100 | $0.0100 | 33% cheaper |
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 88/100 | $0.0180 | 20% more |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 85/100 | $0.0200 | 33% more |
| GPT 5.4 | GPT | $2.50 | $15.00 | 89/100 | $0.0250 | 67% more |
| GPT 5.6 Terra | GPT | $2.50 | $15.00 | 90/100 | $0.0250 | 67% more |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 86/100 | $0.0270 | 80% more |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 82/100 | $0.0450 | 200% more |
| GPT 5.5 | GPT | $5.00 | $30.00 | 87/100 | $0.0500 | 233% more |
| GPT 5.6 Sol | GPT | $5.00 | $30.00 | 88/100 | $0.0500 | 233% more |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 85/100 | $0.0900 | 500% more |
Provider
Gemini
Tier
Fast / Budget
Context
1,000K tokens
Released
May 2026
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| Gemini 3.1 Pro | Mid-tier | $2.00 | $12.00 | 1,000K |
| Gemini 3 Flash | Fast / Budget | $0.50 | $3.00 | 1,000K |
| Gemini 3.5 Flash-Lite | Fast / Budget | $0.25 | $1.50 | 1,000K |
You can compare Gemini 3.5 Flash 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.
See how Gemini 3.5 Flash costs change across different workload types.
Code Generation
$0.0390/call
Unit Test Generation
$0.0495/call
SQL Generation
$0.0113/call
API Generation
$0.0585/call
Code Refactoring
$0.0420/call
Code Review
$0.0255/call
PR Review
$0.0390/call
Security Review
$0.0315/call
Bug Detection
$0.0255/call
Document Summarization
$0.0240/call
PDF Summarization
$0.0360/call
Meeting Notes
$0.0300/call
Email Summarization
$0.009000/call
Chatbot
$0.0120/call
RAG Pipeline
$0.0225/call
Customer Support Bot
$0.0135/call
FAQ Bot
$0.009450/call
JSON Extraction
$0.0117/call
Invoice Parsing
$0.008400/call
Resume Parsing
$0.0110/call
Chain of Thought
$0.0495/call
Legal Analysis
$0.0510/call
Math Reasoning
$0.0292/call
Financial Analysis
$0.0480/call
Content Moderation
$0.001650/call
Sentiment Analysis
$0.001650/call
Categorization
$0.002550/call
Intent Detection
$0.001350/call
Copywriting
$0.0188/call
Blog Writing
$0.0735/call
Marketing Copy
$0.0282/call
Product Descriptions
$0.0143/call
$0.0150 per call at 4,000 input / 1,000 output tokens.
Scores 90/100, rank #1 of 14 models. Top-ranked: GPT 5.6 Terra at 90/100.
Gemini 3.5 Flash-Lite scores 83/100 quality at $0.25/$1.50 per MTok. That is 83% less than Gemini 3.5 Flash per call.
Three strategies: prompt caching (75% off input), batch API (50% off all tokens), prompt optimization. Combined: $0.0150 drops to about $0.001875 per call.
Gemini also offers: Gemini 3.1 Pro at $2.00/$12.00, Gemini 3 Flash at $0.50/$3.00, Gemini 3.5 Flash-Lite at $0.25/$1.50.
1,000K tokens total. Typical data extraction calls use 4,000 plus 1,000 tokens, well within limits.
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.