Replicate API exposes Gemini 3 Flash through model ID google/gemini-3-flash. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-17. Next refresh: weekly.
Quick Start
- 1
- 2Use the Replicate API SDK or REST API to call
google/gemini-3-flash— see the documentation for request format. - 3
Code Examples
pip install replicateREPLICATE_API_TOKENgoogle/gemini-3-flashReplicate 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-flash format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"google/gemini-3-flash",
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 | $0.50 |
| Output tokens | $3.00 |
Capabilities
About Gemini 3 Flash
Gemini 3 Flash is Google's speed-optimized Gemini 3 model, available in public preview via the Gemini API and Vertex AI. It supports text, image, audio, and video inputs with a 1M token context window and is priced at $0.50 per 1M input tokens and $3.00 per 1M output tokens.