A rate per million tokens is not a budget. The calculator takes your request volume, prompt size and cache hit rate and gives you a monthly figure.
Gemini 3.1 Pro Preview API pricing (October 2026)
Preview, API name gemini-3.1-pro-preview. Prompts above 200K tokens bill at $4 in / $18 out. Context caching adds $4.50/hour storage, not modeled here.
What it costs at real volumes
A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.
Specifications
- Provider
- Google Gemini
- Context window
- 1.0M tokens
- Max output
- 66K tokens
- Tier
- frontier
- Status
- PREVIEW
- Blended $/1M (3:1)
- $4.50
- Cache break-even hit rate
- 0%, caching always saves
- Prices verified
- 12 Oct 2026
Source: Google Gemini pricing. Finitizer is not affiliated with Google Gemini.
Similar models
Other Gemini models
- Gemini 3.8 Flash-$3.00
- Gemini 3.5 Flash-Lite-$3.65
- Gemini 2.5 Pro-$1.06
- Gemini 2.5 Flash-$3.65
- Gemini 2.5 Flash-Lite-$4.33
- Gemini 2.0 Flash-$4.33
Closest prices elsewhere
- GPT-5.6 Terrasame price
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- Claude Sonnet 5.5-$0.500
- Claude Sonnet 5-$0.500
Frequently asked questions
How much does Gemini 3.1 Pro Preview cost per 1M tokens?
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens at Google Gemini list prices. Output is 6.0x the input rate, so the input:output ratio of your workload drives the real cost more than the headline price.
Does Gemini 3.1 Pro Preview support prompt caching?
Yes. Cached input is billed at $0.200 per million tokens, 10x cheaper than uncached input. There is no cache-write premium, so caching is never a net loss.
What is the batch discount for Gemini 3.1 Pro Preview?
Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $1.00 and output to $6.00 per million tokens.
What is Gemini 3.1 Pro Preview's context window?
1.0M tokens of context with up to 66K output tokens per request. A larger context window raises the ceiling on what you can send, not the price per token, but filling it on every request is one of the most common causes of an unexpected bill.
Running Gemini 3.1 Pro Preview in production?
Finitizer Tokenomics reads what this model actually costs you from your own bills and exports, shows which workload, team or API key is spending it, flags a spike or a new spend source the day your data shows it, and forecasts where the month will land.
See how Finitizer works