Gemini · Mid-tier · 1.0M context window

Gemini 3.1 Pro pricing for marketing copy

$0.0376 per call at 800 input / 3,000 output tokens.

Per call

$0.0376

10K calls/mo

$376

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 marketing copy spend. Prices verified daily against provider pricing pages.

Configure your usage

800
100100K
3,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$376
10,000 calls/month
Cost per call$0.0376
Daily cost$13
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: ~$0.0376 per call at standard rates
# Input:  $2.00/MTok
# Output: $12.00/MTok

What drives marketing copy cost

Marketing copy is generated in variants (the same brief producing many versions for testing), so cost scales with variant count rather than brief length. Requesting several variants in one call is markedly cheaper than several calls, because the brief and brand context are sent once instead of repeatedly.

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 800/3,000 token split, output accounts for 96% of the $0.0376 per-call cost.

Complete Gemini 3.1 Pro pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$2.00800
Output$12.003,000

Prompt caching: 90% off input tokens

Caching drops input cost from $2.00 to $0.20/MTok. For repeated system prompts, that saves $0.001440 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$0.0376$376$361.6$14.4
50,000 calls$0.0376$1,880$1,808$72
100,000 calls$0.0376$3,760$3,616$144
500,000 calls$0.0376$18,800$18,080$720
1,000,000 calls$0.0376$37,600$36,160$1,440

Gemini 3.1 Pro quality benchmarks for marketing copy

Gemini 3.1 Pro is a solid pick for marketing copy

Scores 77/100 (rank #7 of 88). Good balance of quality and cost for marketing copy.

Top-ranked: Gemini 3.8 Flash (83/100) at $0.0118/call

Performance across all task types

Gemini 3.1 Pro scores by task type. Marketing Copy highlighted.

Q&A87Classification86Code Review84Reasoning84Summarization80Creative Writing *77Extraction75Code 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 Writing(current page)77/100#7
Extraction75/100#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 marketing copy

10 models score 80+ on marketing copy benchmarks, sorted by input rate. Cheapest: Gemini 3.6 Flash (68% less, 76/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Gemini
Gemini 3.6 FlashGemini$0.75$3.7576/100$0.011868% cheaper
Gemini 3.7 FlashGemini$0.75$3.7582/100$0.011868% cheaper
Gemini 3.8 FlashGemini$0.75$3.7583/100$0.011868% cheaper
Gemini 3.5 FlashGemini$1.50$9.0075/100$0.028225% cheaper
Grok 4.6Grok$2.00$6.0078/100$0.019648% cheaper
Grok 4.7Grok$2.00$6.0075/100$0.019648% cheaper
GPT 5.4GPT$2.50$15.0079/100$0.047025% more
GPT 5.6 SolGPT$4.00$20.0076/100$0.063268% more
Claude Opus 4.8Claude$5.00$25.0081/100$0.0790110% more
Claude Fable 5.1Claude$10.00$50.0078/100$0.1580320% more

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 marketing copy per API call?

A typical marketing copy call using Gemini 3.1 Pro costs about $0.0376 per call. This estimate uses 800 input tokens and 3,000 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 marketing copy?

Gemini 3.1 Pro scores 77 out of 100 on marketing copy benchmarks overall. It ranks #7 across all 88 models in our cross-provider registry. The highest-ranked model for this task is Gemini 3.8 Flash from Gemini. That model scores 83/100 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 marketing copy with good quality?

The most affordable model for marketing copy above 80/100 quality is Gemini 3.6 Flash. It comes from Gemini at $0.75 per million input tokens. Output costs $3.75 per million tokens with a quality score of 76/100. Switching from Gemini 3.1 Pro to Gemini 3.6 Flash saves about 68% per API call.

How can I reduce my Gemini 3.1 Pro costs for marketing copy?

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 $0.0376 to about $0.001880 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 marketing copy 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 marketing copy, typical calls use 800 input and 3,000 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.