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Google: Gemini 2.5 Flash Preview 09-2025

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(opens in new tab)).

Modalities

Context

1M

Released

Sep 25, 2025

Knowledge Cutoff

Jan 2025

About Google: Gemini 2.5 Flash Preview 09-2025

OpenRouter makes Google: Gemini 2.5 Flash Preview 09-2025 available through a unified, OpenAI-compatible API using the model ID google/gemini-2.5-flash-preview-09-2025.

Google: Gemini 2.5 Flash Preview 09-2025 accepts images, files such as PDFs, text, audio and video and returns text. It has a 1,048,576-token context window.

It was released on September 25, 2025; its knowledge cutoff is January 31, 2025.

More models from Google

  • Gemini 3.7 Flash
  • Gemini 3.6 Flash
  • Gemini 3.5 Flash Lite

Frequently asked questions

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.

Gemini 2.5 Flash Preview 09-2025 has a 1,048,576 token context window.

Gemini 2.5 Flash Preview 09-2025 accepts images, files such as PDFs, text, audio and video as input and returns text.

Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.5 Flash Lite and 26 more are other text models from Google.

Gemini 2.5 Flash Preview 09-2025 was released on September 25, 2025. Its knowledge cutoff is January 31, 2025.

ActivityFAQ

Activity

Token volume and request traffic to this model over time.