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

Gemini 3.5 Flash pricing for resume parsing

$0.0110 per call at 2,500 input / 800 output tokens.

Per call

$0.0110

10K calls/mo

$109.5

Cache savings

75% off input

Batch savings

50% off all

Calculate your Gemini 3.5 Flash costs

Adjust token counts, volume, and discount toggles to model your resume parsing spend. Pricing updated weekly.

Configure your usage

2,500
100100K
800
5050K
10,000
1001M

Estimated cost

Monthly cost
$110
10,000 calls/month
Cost per call$0.011
Daily cost$4
Input rate$1.50/MTok
Output rate$9.00/MTok
Analyze your real spend

Quick start

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: ~$0.0110 per call at standard rates
# Input:  $1.50/MTok
# Output: $9.00/MTok

How Gemini 3.5 Flash compares on cost

Per-call cost for all models scoring 50+ on resume parsing benchmarks. Hover for details.

Cheapest viable option: Gemini 3.5 Flash-Lite at $0.001825/call (83% less, 83/100 quality).

Complete Gemini 3.5 Flash pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$1.502,500
Output$9.00800

Prompt caching: 75% off input tokens

Caching drops input cost from $1.50 to $0.38/MTok. For repeated system prompts, that saves $0.002813 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$0.0110$109.5$81.38$28.13
50,000 calls$0.0110$547.5$406.88$140.63
100,000 calls$0.0110$1,095$813.75$281.25
500,000 calls$0.0110$5,475$4,068.75$1,406.25
1,000,000 calls$0.0110$10,950$8,137.5$2,812.5

Gemini 3.5 Flash quality benchmarks for resume parsing

Use Gemini 3.5 Flash for resume parsing

Scores 90/100 (rank #1 of 14). Strong pick for production resume parsing workloads.

Top-ranked: GPT 5.6 Terra (90/100) at $0.0183/call

Performance across all task types

Gemini 3.5 Flash scores by task type. Resume Parsing highlighted.

Classification92Extraction *90Summarization85Q&A84Code Generation68Code Review65Reasoning60Creative Writing55
Task typeConfidence scoreRank out of 14
Classification92/100#1
Extraction(current page)90/100#1
Summarization85/100#3
Q&A84/100#5
Code Generation68/100#7
Code Review65/100#6
Reasoning60/100#6
Creative Writing55/100#6

Alternative models for resume parsing

13 models score 80+ on resume parsing benchmarks, sorted by input rate. Cheapest: Gemini 3.5 Flash-Lite (83% less, 83/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Gemini
Gemini 3.5 Flash-LiteGemini$0.25$1.5083/100$0.00182583% cheaper
Gemini 3 FlashGemini$0.50$3.0086/100$0.00365067% cheaper
Claude Haiku 4.5Claude$1.00$5.0088/100$0.00650041% cheaper
GPT 5.6 LunaGPT$1.00$6.0089/100$0.00730033% cheaper
Claude Sonnet 5Claude$2.00$10.0088/100$0.013019% more
Gemini 3.1 ProGemini$2.00$12.0085/100$0.014633% more
GPT 5.4GPT$2.50$15.0089/100$0.018367% more
GPT 5.6 TerraGPT$2.50$15.0090/100$0.018367% more
Claude Sonnet 4.6Claude$3.00$15.0086/100$0.019578% more
Claude Opus 4.8Claude$5.00$25.0082/100$0.0325197% more
GPT 5.5GPT$5.00$30.0087/100$0.0365233% more
GPT 5.6 SolGPT$5.00$30.0088/100$0.0365233% more
Claude Fable 5Claude$10.00$50.0085/100$0.0650494% more

About Gemini 3.5 Flash

Provider

Gemini

Tier

Fast / Budget

Context

1,000K tokens

Released

May 2026

Other models from Gemini

ModelTierInput $/MTokOutput $/MTokContext
Gemini 3.1 ProMid-tier$2.00$12.001,000K
Gemini 3 FlashFast / Budget$0.50$3.001,000K
Gemini 3.5 Flash-LiteFast / Budget$0.25$1.501,000K

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.

Frequently asked questions

How much does Gemini 3.5 Flash cost for resume parsing per API call?

$0.0110 per call at 2,500 input / 800 output tokens.

Is Gemini 3.5 Flash the best model for resume parsing?

Scores 90/100, rank #1 of 14 models. Top-ranked: GPT 5.6 Terra at 90/100.

What is the cheapest model for resume parsing with good quality?

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.

How can I reduce my Gemini 3.5 Flash costs for resume parsing?

Three strategies: prompt caching (75% off input), batch API (50% off all tokens), prompt optimization. Combined: $0.0110 drops to about $0.001369 per call.

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

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.

What context window does Gemini 3.5 Flash support?

1,000K tokens total. Typical resume parsing calls use 2,500 plus 800 tokens, well within limits.

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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.