Gemini 2.5 Flash

Gemini 2.5 Flash is a fast multimodal model for applications where latency and price matter. It is the first version of the gemini-flash line in the registry. It has a context window of 1,048,576 tokens and a maximum output of 65,536 tokens. It accepts audio, image, pdf, text, and video, and returns text. It supports reasoning mode and tool calling. Weights are not open. Pricing starts at $0.09 per million input tokens and $0.71 per million output tokens, with cached input at $0.021 per million tokens.

First version of its line in the registry.

Range across the hosts that serve it: up to $0.30 per 1M input tokens.

• ·1,048,576 token context window
• ·65,536 token max output
• ·Accepts audio, image, pdf, text, video
• ·Supports reasoning mode and tool calling
• ·Priced from $0.09 per million input tokens

• Reach for it for multimodal apps needing low latency and low price
• Reach for it for processing long documents or videos within a 1M token window
• Reach for it for building agents with tool calling and reasoning
• Reach for it for generating text from audio, image, pdf, or video inputs

31 hosts serve this model at the price above · the maker's documentation

• 8UN turns to Google to make its global data ready for AI agents2026-09-18

1 signal of the archive mention this model, each scored against the published bar. This list is rebuilt from the archive at every build, so it cannot go stale.

The registry keeps the six most recent versions of a line. Older ones stay in the file and can be surfaced without a rebuild.

What is the context window?

1,048,576 tokens.

What are the input and output prices?

From $0.09 per million input tokens and $0.71 per million output tokens. Cached input is $0.021 per million tokens.

Does it support tool calling?

Yes, it supports tool calling and reasoning mode.