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Gemini API Pricing: Flash, Pro, Nano Banana and Veo Rates

Looking for clear Gemini API pricing? Here is the complete breakdown of official rates for Gemini 3.6 Flash, 3.1 Pro Preview, Nano Banana image models, and Veo 3.1 video generation.

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Understanding gemini api pricing is essential before deploying multimodal models into your production pipeline. As of October 2026, Google offers distinct pricing structures for text processing, high-resolution image generation via the Nano Banana family, and video generation through Veo 3.1. Below, I break down every official tier alongside direct cost comparisons for visual models via my platform, Jantaris.

As of 18 October 2026

  • Gemini 3.6 Flash costs $0.75 / $3.75 per 1M tokens through 31 December 2026, doubling on 1 January 2027.
  • Gemini 3.1 Pro Preview costs $2 / $12 per 1M tokens, rising to $4 / $18 for prompts over 200k tokens.
  • Nano Banana image generation ranges from $0.0336 to $0.24 depending on resolution and architecture.
  • Veo 3.1 8-second video clips range from $0.40 (Lite) to $3.20 (Quality) at 720p.

Official Gemini API Pricing for Text and Multimodal Prompts

For text and vision understanding, Google currently structures costs around two primary tiers: Gemini 3.6 Flash and Gemini 3.1 Pro Preview. If you are tracking the wider model landscape, Google also offers Gemini 4 Argon directly, which you can read about in my Gemini 4 Argon access guide.

When planning your budget for the gemini api, keep in mind the scheduled price change. Gemini 3.6 Flash is currently discounted at $0.75 per million input tokens and $3.75 per million output tokens until 31 December 2026. Beginning 1 January 2027, the price increases to $1.50 per million input tokens and $7.50 per million output tokens. For Gemini 3.1 Pro Preview, regular context calls cost $2 per million input tokens and $12 per million output tokens, while requests exceeding 200k tokens step up to $4 input and $18 output per million tokens.

Model Context Tier Input / 1M Output / 1M
Gemini 3.6 Flash (until 31 Dec 2026) Standard $0.75 $3.75
Gemini 3.6 Flash (from 1 Jan 2027) Standard $1.50 $7.50
Gemini 3.1 Pro Preview Up to 200k tokens $2.00 $12.00
Gemini 3.1 Pro Preview Above 200k tokens $4.00 $18.00

Nano Banana API Image Generation Rates

Google offers visual generation through its Nano Banana lineup. When accessing the nano banana api directly from Google, pricing is calculated per generated image based on model generation and resolution:

  • Nano Banana (original / Gemini 2.5 Flash Image): $0.039 per image
  • Nano Banana 2 Lite: $0.0336 (1K)
  • Nano Banana 2.1: $0.0336 (1K), $0.0504 (2K), $0.113 (4K)
  • Nano Banana 2: $0.045 (0.5K), $0.067 (1K), $0.101 (2K), $0.151 (4K)
  • Nano Banana Pro: $0.134 (1K/2K), $0.24 (4K)

Comparing the Gemini API Price for Images and Video

While I do not offer custom rates for Gemini text models, I built my service to provide substantial savings on select visual endpoints. If your workflow relies on heavy image rendering or video rendering, you can check costs directly using the AI cost calculator.

Here is how official rates compare to rates on my pricing table for the models where lower pricing applies:

Model & Resolution Official Price My Service Difference
Nano Banana Pro 1K/2K $0.134 $0.07 -48%
Nano Banana Pro 4K $0.24 $0.075 -69%
Nano Banana 2, 2K $0.101 $0.0875 -13%
Nano Banana 2, 4K $0.151 $0.1125 -25%
Nano Banana (original) $0.039 $0.0359 -8%
Veo 3.1 Lite (8 s, 720p) $0.40 $0.177 -56%
Veo 3.1 Fast (8 s, 720p) $0.80 $0.354 -56%
Veo 3.1 Quality (8 s, 720p) $3.20 $2.53 -21%

Beyond these, other competitive video models exist for different creative requirements. For example, you can review Kling pricing options to see how other video architectures structure per-second rendering.

How to Call Nano Banana Pro via API

To generate images using Nano Banana Pro through a unified endpoint, you can trigger a task via curl as shown below:

curl "https://jantaris.com/v1/generate?wait=60" -H "Authorization: Bearer $JANTARIS_API_KEY" -H "Content-Type: application/json" -d '{"model":"nano-banana-pro","input":{"prompt":"...","aspect_ratio":"4:5","resolution":"2k"}}'

Review the full endpoint documentation at the quickstart guide. In my service, failed generations cost $0 because funds are only held while the task processes. You operate on a single prepaid USD balance with no recurring subscription, and balances do not expire.

Frequently Asked Questions

When does the Gemini 3.6 Flash price increase take effect?

The current promotional rate of $0.75 per million input tokens and $3.75 per million output tokens is valid through 31 December 2026. Starting 1 January 2027, the price increases to $1.50 for input and $7.50 for output.

How does context length affect the Gemini 3.1 Pro gemini api price?

Standard prompts up to 200k tokens cost $2 per million input tokens and $12 per million output tokens. Once your prompt exceeds 200k tokens, the price doubles to $4 per million input tokens and $18 per million output tokens.

What is the official cost of generating an 8-second video clip with Veo 3.1?

Direct from Google, an 8-second 720p clip costs $0.40 on Veo 3.1 Lite, $0.80 on Veo 3.1 Fast, and $3.20 on Veo 3.1 Quality. Other platforms may price these same tiers differently.

Are image generation prompts used to train models?

When using the API via my service, your prompts and generated outputs are never used to train underlying AI models. Result links are temporary, so you must download your generated assets promptly.

What is the minimum balance required to test Nano Banana Pro?

The minimum top-up on my service is $10 by card, with all funds credited directly to your prepaid USD balance without monthly fees. Generations display an estimated cost upfront, and failed tasks are refunded at $0.

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Prices checked on 18 October 2026.

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Piotr Olszewski

Editor and publisher · Quantslant

I edit and publish Quantslant. AI tools help with research, drafts and translation; choosing topics, running the tests, checking facts and the decision to publish are mine, and so is the responsibility for what appears here.

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