Google: Gemini 2.5 Flash Preview 09-2025
Gemini 2.5 Flash Preview September 2025 Checkpoint is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater accuracy and nuanced context handling. Additionally, Gemini 2.5 Flash is configurable through the "max tokens for reasoning" parameter, as described in the documentation (https://openrouter.ai/docs/use-cases/reasoning-tokens#max-tokens-for-reasoning).
Model Information
Pricing Information
Supported Parameters
Common Use Cases
Multimodal Tasks
- • Image analysis and description
- • Visual question answering
- • Document understanding
- • Content moderation
Image Generation
- • Creative artwork generation
- • Product visualization
- • Marketing materials
- • Concept art and design
General Applications
- • Chatbots and virtual assistants
- • Educational content creation
- • Research and analysis
- • Automation and workflow
Frequently Asked Questions
What is the context length of this model?
This model has a context length of 1.0M tokens, which means it can process and remember up to 1.0M tokens of text in a single conversation or request.
How much does it cost to use this model?
Prompt tokens cost $0.30M/1M tokens and completion tokens cost $2.50M/1M tokens.
What modalities does this model support?
This model supports text+image->text modality, accepting image and file and textas input and producing text as output.
When was this model created?
This model was created on September 25, 2025.