Gemini 2.5 Pro

gemini-2.5-pro#

Providers / Google Vertex AI / gemini-2.5-pro

Google Vertex AI model: gemini-2.5-pro

📋 Overview#

  • ID: gemini-2.5-pro
  • Provider: Google Vertex AI
  • Authors: Google
  • Release Date: 2025-03-20
  • Knowledge Cutoff: 2025-01-01
  • Open Weights: false
  • Context Window: 1.0M tokens
  • Max Output: 65k tokens

🎯 Capabilities#

Feature Overview#

Supports text generation and processing Can analyze and understand images Supported input modalities Supported output modalities Can invoke and call tools in responses Accepts tool definitions in requests Supports tool choice strategies (auto/none/required)

Input/Output Modalities#

DirectionTextImageAudioVideoPDF
Input
Output

Core Features#

Tool CallingTool DefinitionsTool ChoiceWeb SearchFile Attachments

Response Delivery#

StreamingStructured OutputJSON ModeFunction CallText Format

🎛️ Generation Controls#

💰 Pricing#

Pricing shown for Google Vertex AI

Token Pricing#

InputOutputReasoningCache ReadCache Write
$1.25/1M$10.00/1M---

💰 Cost Calculator#

Calculate costs for common usage patterns:

Use CaseInputOutputTotal Cost
Quick chat (1K in, 500 out)1k tokens500 tokens$0.006250
Document summary (10K in, 1K out)10k tokens1k tokens$0.0225
RAG query (50K in, 2K out)50k tokens2k tokens$0.0825
Code generation (5K in, 10K out)5k tokens10k tokens$0.1063

Pricing Formula:

1Cost = (Input Tokens / 1M × $1.25) + (Output Tokens / 1M × $10.00)

📊 Example Costs#

Real-world usage examples and their costs:

Usage TierDaily VolumeMonthly TokensMonthly Cost
Personal (10 chats/day)10 chats675k$2.81
Small Team (100 chats/day)100 chats9.0M$37.50
Enterprise (1000 chats/day)1000 chats135.0M$562.50

📋 Metadata#

Created: 0001-01-01 00:00:00 UTC

Last Updated: 2025-10-19 18:13:08 UTC



Last Updated: 2025-10-21 23:55:56 UTC | Generated by ModelWiki