Gemini · Mid-tier · 1.0M context window

Gemini 3.1 Pro pricing for invoice parsing

$0.0112 per call at 2,000 input / 600 output tokens.

Per call

$0.0112

10K calls/mo

$112

Cache savings

90% off input

Batch savings

50% off all

Calculate your Gemini 3.1 Pro costs

Adjust token counts, volume, and discount toggles to model your invoice parsing spend. Prices verified daily against provider pricing pages.

Configure your usage

2,000
100100K
600
5050K
10,000
1001M

Estimated cost

Monthly cost
$112
10,000 calls/month
Cost per call$0.0112
Daily cost$4
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: ~$0.0112 per call at standard rates
# Input:  $2.00/MTok
# Output: $12.00/MTok

What drives invoice parsing cost

Invoices are short, highly repetitive documents processed in bulk: the ideal batch API workload. Per-document cost is low; total cost is set by volume and by whether you are paying full rate for a job that could have run asynchronously overnight at a discount. The extraction schema is constant, so it should never be paying full input rate either.

For Gemini 3.1 Pro specifically, that means output tokens cost 6.0x more than input, at $12.00 vs $2.00 per MTok. At this use case’s 2,000/600 token split, output accounts for 64% of the $0.0112 per-call cost.

Complete Gemini 3.1 Pro pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$2.002,000
Output$12.00600

Prompt caching: 90% off input tokens

Caching drops input cost from $2.00 to $0.20/MTok. For repeated system prompts, that saves $0.003600 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$0.0112$112$76$36
50,000 calls$0.0112$560$380$180
100,000 calls$0.0112$1,120$760$360
500,000 calls$0.0112$5,600$3,800$1,800
1,000,000 calls$0.0112$11,200$7,600$3,600

Gemini 3.1 Pro quality benchmarks for invoice parsing

Consider alternatives for invoice parsing

Scores 75/100 (rank #5 of 88). Better options exist at similar price points for invoice parsing.

Top-ranked: Claude Haiku 4.5 (88/100) at $0.005000/call

Performance across all task types

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

Q&A87Classification86Code Review84Reasoning84Summarization80Creative Writing77Extraction *75Code Generation57
Task typeConfidence scoreRank out of 88
Q&A87/100#4
Classification86/100#3
Code Review84/100#4
Reasoning84/100#22
Summarization80/100#2
Creative Writing77/100#7
Extraction(current page)75/100#5
Code Generation57/100#24

Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for invoice parsing

2 models score 80+ on invoice parsing benchmarks, sorted by input rate. Cheapest: Gemini 3 Flash (75% less, 86/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Gemini
Gemini 3 FlashGemini$0.50$3.0086/100$0.00280075% cheaper
Claude Haiku 4.5Claude$1.00$5.0088/100$0.00500055% cheaper

About Gemini 3.1 Pro

Provider

Gemini

Tier

Mid-tier

Context

1.0M tokens

Released

Apr 2026

Other models from Gemini

ModelTierInput $/MTokOutput $/MTokContext
Gemini 3.5 FlashFast / Budget$1.50$9.001.0M
Gemini 3 FlashFast / Budget$0.50$3.001.0M
Gemini 3.5 Flash-LiteFast / Budget$0.30$2.501.0M
Gemini 2.5 Computer UseFast / Budget$1.25$10.00128K
Gemini 2.5 FlashFast / Budget$0.30$2.501.0M
Gemini 2.5 Flash-LiteFast / Budget$0.10$0.401.0M
Gemini 2.5 ProMid-tier$1.25$10.001.0M
Gemini 3.1 Flash-LiteFast / Budget$0.25$1.501.0M
Gemini 3.1 Pro Custom ToolsMid-tier$2.00$12.001.0M
Gemini 3.6 FlashFast / Budget$0.75$3.751.0M
Gemini 3.7 FlashFast / Budget$0.75$3.751.0M
Gemini 3.8 FlashFast / Budget$0.75$3.751.0M
Gemini Omni 1.1 FlashFast / Budget$1.50$9.001.0M
Gemini Omni FlashFast / Budget$1.50$9.001.0M
Gemini Robotics ER 2Fast / Budget$1.00$5.00131K

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.

Frequently asked questions

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

A typical invoice parsing call using Gemini 3.1 Pro costs about $0.0112 per call. This estimate uses 2,000 input tokens and 600 output tokens at standard rates. Standard rates are $2.00 per million input tokens and $12.00 per million output tokens.

Is Gemini 3.1 Pro the best model for invoice parsing?

Gemini 3.1 Pro scores 75 out of 100 on invoice parsing benchmarks overall. It ranks #5 across all 88 models in our cross-provider registry. The highest-ranked model for this task is Claude Haiku 4.5 from Claude. That model scores 88/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

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

The most affordable model for invoice parsing above 80/100 quality is Gemini 3 Flash. It comes from Gemini at $0.50 per million input tokens. Output costs $3.00 per million tokens with a quality score of 86/100. Switching from Gemini 3.1 Pro to Gemini 3 Flash saves about 75% per API call.

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

Three strategies lower Gemini 3.1 Pro 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 $0.0112 to about $0.000560 per call.

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

Gemini has 15 other models alongside Gemini 3.1 Pro today: 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), Gemini 3.5 Flash-Lite at $0.30/$2.50 per million tokens (fast / budget), Gemini 2.5 Computer Use at $1.25/$10.00 per million tokens (fast / budget), Gemini 2.5 Flash at $0.30/$2.50 per million tokens (fast / budget), Gemini 2.5 Flash-Lite at $0.10/$0.40 per million tokens (fast / budget), Gemini 2.5 Pro at $1.25/$10.00 per million tokens (mid-tier), Gemini 3.1 Flash-Lite at $0.25/$1.50 per million tokens (fast / budget), Gemini 3.1 Pro Custom Tools at $2.00/$12.00 per million tokens (mid-tier), Gemini 3.6 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.7 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.8 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini Omni 1.1 Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini Omni Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini Robotics ER 2 at $1.00/$5.00 per million tokens (fast / budget). The right choice depends on whether your invoice parsing workload prioritizes quality, cost, or speed.

What context window does Gemini 3.1 Pro support?

Gemini 3.1 Pro supports a context window of 1.0M tokens per API call. This sets the maximum combined length of your input prompt and generated response. For invoice parsing, typical calls use 2,000 input and 600 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.