Home/Google/Gemini 3.1 Pro
Google pricing

Gemini 3.1 Pro API Pricing & Cost Calculator

Gemini 3.1 Pro features 1M+ token context, native audio + video understanding, and improved reasoning. Successor to Gemini 3 Pro (deprecated). Same price, expanded capability.

Input
$2.00
per 1M tokens
Output
$12.00
per 1M tokens
Context window
1049K
tokens
Released
2026-03
Cutoff 2026-01
≈ Estimated tokenizer·$2.00 in·$12.00 out (per 1M)
Quick start with a use case
Total cost per call$0.008000
Input$0.002000
Output$0.006000
Cost comparison
Standard
$0.008000
With Caching
$0.007100
Save 11% ↓
With Batch
$0.004000
Save 50% ↓
Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

Affiliate link — we may earn a commission at no extra cost to you.

Detailed pricing

Gemini 3.1 Pro pricing breakdown

All pricing dimensions including caching and batch discounts.

TypePrice (per 1M tokens)
Input$2.0000
Output$12.0000
Cached input$0.2000
Batch input$1.0000
Batch output$6.0000
Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

Affiliate link — we may earn a commission at no extra cost to you.

Last verified 2026-08-24 · Google official pricing · ⚠️ Spotted a wrong price? Report in 30s →

How it compares

Gemini 3.1 Pro vs alternatives

Single-call cost (1000 input + 500 output tokens) ranked from cheapest.

ModelPer call
Gemini 3.1 Pro
Google · this page
$0.008000
GPT-6 Luna
OpenAI
$0.000350
DeepSeek V3.2
DeepSeek
$0.000480
GPT-5.6 Luna
OpenAI
$0.000800
DeepSeek V4-Flash
DeepSeek
$0.000900
Gemini 3.1 Flash Lite
Google
$0.001000
Recommended use

When to choose Gemini 3.1 Pro

Gemini 3.1 Pro shines for general-purpose tasks, image and document understanding, long documents and large codebases, complex multi-step reasoning, and audio understanding and generation. Token counts are estimated within ~10-20% margin.

✓Context window of 1049K tokens handles entire codebases or book-length documents.
✓Prompt caching available — significant savings for repeated system prompts.
✓Batch API support for non-realtime workloads at ~50% discount.
✓Tool / function calling supported.
FAQ

Frequently asked questions

Gemini 3.1 Pro costs $2.00 per 1M input tokens and $12.00 per 1M output tokens. A typical chat call (1000 input + 500 output tokens) costs approximately $0.0080. Use the calculator above to estimate your specific use case.
Gemini 3.1 Pro supports a 1049K token context window with a max output of 65,536 tokens. Knowledge cutoff: 2026-01.
Yes. Cached input is priced at $0.20 per 1M tokens — 90% cheaper than uncached input. This is especially valuable for repeated system prompts, long-context retrieval, and chat threads with shared history.
Yes. Gemini 3.1 Pro supports the Batch API at $1.00 input / $6.00 output per 1M tokens — typically 50% off standard pricing. Batch jobs complete within ~24 hours, ideal for non-realtime workloads like overnight data processing or content generation pipelines.
Yes, Gemini 3.1 Pro accepts image input. Vision token pricing is generally calculated based on image dimensions and folded into the input token count. Specific image-specific pricing varies — refer to Google's official documentation.
Token counts for Gemini 3.1 Pro are estimated from character ratios (~10-20% margin). Cost calculations use prices verified on 2026-08-24. For final billing accuracy, always verify with Google's usage dashboard.
Yes, Google offers fine-tuning for Gemini 3.1 Pro. Fine-tuned model pricing is separate from base model pricing — check Google's pricing page for current fine-tuning rates.