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Gemini · Mid-tier · 1,000K context window

Gemini 3.1 Pro pricing for resume parsing

$0.0146 per call at 2,500 input / 800 output tokens.

Per call

$0.0146

10K calls/mo

$146

Cache savings

75% off input

Batch savings

50% off all

Calculate your Gemini 3.1 Pro 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
$146
10,000 calls/month
Cost per call$0.0146
Daily cost$5
Input rate$2.00/MTok
Output rate$12.00/MTok
Analyze your real spend

Quick start

Call Gemini 3.1 Pro with the Google Generative AI SDK:

import google.generativeai as genai

model = genai.GenerativeModel("gemini-3.1-pro")
response = model.generate_content("Your prompt here")
# Cost: ~$0.0146 per call at standard rates
# Input:  $2.00/MTok
# Output: $12.00/MTok

How Gemini 3.1 Pro compares on cost

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

Gemini 3.5 Flash-Lite$0.001825Gemini 3 Flash$0.003650Claude Haiku 4.5$0.006500GPT 5.6 Luna$0.007300Gemini 3.5 Flash$0.0110Claude Sonnet 5$0.0130Gemini 3.1 Pro$0.0146GPT 5.4$0.0183GPT 5.6 Terra$0.0183Claude Sonnet 4.6$0.0195Claude Opus 4.8$0.0325GPT 5.5$0.0365GPT 5.6 Sol$0.0365Claude Fable 5$0.0650

Cheapest viable option: Gemini 3.5 Flash-Lite at $0.001825/call (88% less, 83/100 quality).

Complete Gemini 3.1 Pro pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$2.002,500
Output$12.00800

Prompt caching: 75% off input tokens

Caching drops input cost from $2.00 to $0.50/MTok. For repeated system prompts, that saves $0.003750 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$0.0146$146$108.5$37.5
50,000 calls$0.0146$730$542.5$187.5
100,000 calls$0.0146$1,460$1,085$375
500,000 calls$0.0146$7,300$5,425$1,875
1,000,000 calls$0.0146$14,600$10,850$3,750

Gemini 3.1 Pro quality benchmarks for resume parsing

Gemini 3.1 Pro is a solid pick for resume parsing

Scores 85/100 (rank #4 of 14). Good balance of quality and cost for resume parsing.

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

Performance across all task types

Gemini 3.1 Pro scores by task type. Resume Parsing highlighted.

Reasoning90Summarization87Q&A87Code Generation86Classification86Extraction *85Code Review84Creative Writing84
Task typeConfidence scoreRank out of 14
Reasoning90/100#4
Summarization87/100#4
Q&A87/100#4
Code Generation86/100#5
Classification86/100#3
Extraction(current page)85/100#4
Code Review84/100#4
Creative Writing84/100#4

Alternative models for resume parsing

13 models score 80+ on resume parsing benchmarks, sorted by input rate. Cheapest: Gemini 3.5 Flash-Lite (88% less, 83/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Gemini
Gemini 3.5 Flash-LiteGemini$0.25$1.5083/100$0.00182588% cheaper
Gemini 3 FlashGemini$0.50$3.0086/100$0.00365075% cheaper
Claude Haiku 4.5Claude$1.00$5.0088/100$0.00650055% cheaper
GPT 5.6 LunaGPT$1.00$6.0089/100$0.00730050% cheaper
Gemini 3.5 FlashGemini$1.50$9.0090/100$0.011025% cheaper
Claude Sonnet 5Claude$2.00$10.0088/100$0.013011% cheaper
GPT 5.4GPT$2.50$15.0089/100$0.018325% more
GPT 5.6 TerraGPT$2.50$15.0090/100$0.018325% more
Claude Sonnet 4.6Claude$3.00$15.0086/100$0.019534% more
Claude Opus 4.8Claude$5.00$25.0082/100$0.0325123% more
GPT 5.5GPT$5.00$30.0087/100$0.0365150% more
GPT 5.6 SolGPT$5.00$30.0088/100$0.0365150% more
Claude Fable 5Claude$10.00$50.0085/100$0.0650345% more

About Gemini 3.1 Pro

Provider

Gemini

Tier

Mid-tier

Context

1,000K tokens

Released

Apr 2026

Other models from Gemini

ModelTierInput $/MTokOutput $/MTokContext
Gemini 3.5 FlashFast / Budget$1.50$9.001,000K
Gemini 3 FlashFast / Budget$0.50$3.001,000K
Gemini 3.5 Flash-LiteFast / Budget$0.25$1.501,000K

You can compare Gemini 3.1 Pro 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 3.1 Pro pricing for other use cases

See how Gemini 3.1 Pro costs change across different workload types.

Code Generation

$0.0520/call

Unit Test Generation

$0.0660/call

SQL Generation

$0.0150/call

API Generation

$0.0780/call

Code Refactoring

$0.0560/call

Code Review

$0.0340/call

PR Review

$0.0520/call

Security Review

$0.0420/call

Bug Detection

$0.0340/call

Document Summarization

$0.0320/call

PDF Summarization

$0.0480/call

Meeting Notes

$0.0400/call

Email Summarization

$0.0120/call

Chatbot

$0.0160/call

RAG Pipeline

$0.0300/call

Customer Support Bot

$0.0180/call

FAQ Bot

$0.0126/call

Data Extraction

$0.0200/call

JSON Extraction

$0.0156/call

Invoice Parsing

$0.0112/call

Chain of Thought

$0.0660/call

Legal Analysis

$0.0680/call

Math Reasoning

$0.0390/call

Financial Analysis

$0.0640/call

Content Moderation

$0.002200/call

Sentiment Analysis

$0.002200/call

Categorization

$0.003400/call

Intent Detection

$0.001800/call

Copywriting

$0.0250/call

Blog Writing

$0.0980/call

Marketing Copy

$0.0376/call

Product Descriptions

$0.0190/call

Related pages

Frequently asked questions

How much does Gemini 3.1 Pro cost for resume parsing per API call?

$0.0146 per call at 2,500 input / 800 output tokens.

Is Gemini 3.1 Pro the best model for resume parsing?

Scores 85/100, rank #4 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 88% less than Gemini 3.1 Pro per call.

How can I reduce my Gemini 3.1 Pro costs for resume parsing?

Three strategies: prompt caching (75% off input), batch API (50% off all tokens), prompt optimization. Combined: $0.0146 drops to about $0.001825 per call.

How does Gemini 3.1 Pro pricing compare to other Gemini models?

Gemini also offers: Gemini 3.5 Flash at $1.50/$9.00, Gemini 3 Flash at $0.50/$3.00, Gemini 3.5 Flash-Lite at $0.25/$1.50.

What context window does Gemini 3.1 Pro support?

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

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