Using Gemini 3 Pro on Replicate API

Implementation guide · Gemini 3 · Google DeepMind

Serverless

Replicate API exposes Gemini 3 Pro through model ID google/gemini-3-pro. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-21. Next refresh: weekly.

Quick Start

1
Create an account at Replicate API and generate an API key.
2
Use the Replicate API SDK or REST API to call google/gemini-3-pro — see the documentation for request format.
3
You'll be billed $2.00/1M input, $12.00/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install replicate

API key

REPLICATE_API_TOKEN

Model ID

google/gemini-3-pro

Replicate uses "owner/model-name" format (e.g. "meta/meta-llama-3-8b-instruct") for the latest version, or "owner/model-name:version-sha" to pin to a specific version. The REST endpoint splits owner and model-name into the path: /v1/models/{owner}/{model-name}/predictions.

import replicate

# reads REPLICATE_API_TOKEN from env
# google/gemini-3-pro format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
    "google/gemini-3-pro",
    input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))

Pricing on Replicate API

Type	Price (per 1M)
Input tokens	$2.00
Output tokens	$12.00

Capabilities

VisionMultimodalJSON / Tool useCode Execution

About Gemini 3 Pro

Google DeepMind's most advanced reasoning Gemini model. Part of the Gemini 3 series with frontier-class intelligence, multimodal understanding, and 1M token context window.

Full model details →

Model Specs

Released2025-12-11

Context1m

ArchitectureDecoder Only

Knowledge cutoff2025-01

Replicate

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