LLM Reference
OpenRouter

Gemini 2.5 Pro Preview 05-06 on OpenRouter

Gemini 2.5 · Google DeepMind

Serverless

Last refreshed 2026-05-11. Next refresh: weekly.

Why use Gemini 2.5 Pro Preview 05-06 on OpenRouter?

OpenRouter offers Gemini 2.5 Pro Preview 05-06 with pay-as-you-go pricing at $1.25/1M input tokens. OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

Input / 1M
$1.25
Output / 1M
$10.00
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: google/gemini-2.5-pro-preview-05-06
Model ID
google/gemini-2.5-pro-preview-05-06

Request example

Curated snippets for this provider are not sourced yet. Use OpenRouter documentation with model ID google/gemini-2.5-pro-preview-05-06.

Gotchas

  • Use provider model ID "google/gemini-2.5-pro-preview-05-06", not the LLMReference slug "gemini-2.5-pro-preview-05-06".

Pricing

TypePrice (per 1M)
Input tokens$1.25
Output tokens$10.00

Capabilities

Structured Outputs

About Gemini 2.5 Pro Preview 05-06

Google: Gemini 2.5 Pro Preview 05-06 available via OpenRouter. Pricing: $1.25/1M input, $10/1M output.

FAQ

What does Gemini 2.5 Pro Preview 05-06 cost on OpenRouter?

On OpenRouter, Gemini 2.5 Pro Preview 05-06 costs $1.25 per 1M input tokens and $10 per 1M output tokens.

What is the context window for Gemini 2.5 Pro Preview 05-06 on OpenRouter?

Gemini 2.5 Pro Preview 05-06 supports a 1.05m token context window on OpenRouter.

What API model ID do I use for Gemini 2.5 Pro Preview 05-06 on OpenRouter?

Use the model ID google/gemini-2.5-pro-preview-05-06 when calling OpenRouter's API.

Who created Gemini 2.5 Pro Preview 05-06?

Gemini 2.5 Pro Preview 05-06 was created by Google DeepMind as part of the Gemini 2.5 model family.

Is Gemini 2.5 Pro Preview 05-06 open source?

Gemini 2.5 Pro Preview 05-06's open source status is unknown in the seed data.

Get Started

Model Specs

Released2025-05-06
Context1m
ArchitectureDecoder Only
Knowledge cutoff2025-01