Skip to content
ModelPriceLab

Search model prices

Find source-linked rates by model, vendor, or platform.

Model Services/Google AI/Gemini 2.5 Pro Preview 06-05
google

Gemini 2.5 Pro Preview 06-05

Active

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

View current API pricing for this model
Input, output, and cached rates with source and verification time, plus same-workload cost examples.
Go to pricing page →
Input / 1M tokens
$1.25
Output / 1M tokens
$10.00
Record updated 2026-10-05
Modality:LLM
Context:1,048,576 tokens

Pricing

Platform
Scope
Input
Output
Details
OpenRouter
Unified API Router
Standard
$1.25
$10.00
1.0M context · 66k max output

How much are you overpaying?

Enter your monthly spend on this model to see what the same workload could cost on cheaper alternatives.

$
Enter a monthly spend to see the listed-rate comparison.

Latest changes

No recent changes.

Benchmarks

No benchmark data available.

⚡Gemini 2.5 Pro Preview 06-05 Comparisons & Scenario Guides

❓Gemini 2.5 Pro Preview 06-05 Frequently Asked Questions

How much does Gemini 2.5 Pro Preview 06-05 cost per 1M tokens?▼

Gemini 2.5 Pro Preview 06-05 is priced at $1.25 per 1M input tokens and $10.00 per 1M output tokens, with cached input at $0.13/1M on openrouter. Check provider terms before deployment.

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

Gemini 2.5 Pro Preview 06-05 supports up to 1,048,576 tokens context with a max completion limit of 65,536 tokens.

What are cost-saving alternatives to Gemini 2.5 Pro Preview 06-05?▼

ModelPriceLab automatically calculates cheaper alternatives in the same model class, showing monthly spend differences and migration guides.

AI Cost Optimization

Does this change your best option?

Check your models and usage for free. See the relevant official changes, estimated cost, and a practical next step.