GooglefastVisionTool use

Gemini Flash Latest

1.0M context·~786K words·66K max output

View context details Compare with Gemma 7b It

Context window1.0Mtokens

Max output66Ktokens

Context window

This model accepts 1.0M tokens in one request (~786K words of text).

Context window size1.0M tokens

4K32K128K1M10M

What fits in one request

Short document
About 1,500 words of text
Fits
Long document
About 37K words of text
Fits
Small codebase
About 150K words of text
Fits
Full novel
About 375K words of text
Fits

Specifications

Context size, pricing, and release info in one place.

Context window: 1,048,576 tokens (1.0M)
Max output tokens: 65,535 tokens (66K)
Speed tier: fast
Provider: Google
Input cost: $0.300/M / 1M tokens
Output cost: $2.50/M / 1M tokens
Cached input: $0.075/M / 1M tokens

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (6)

Vision: Accepts image inputs alongside text; Supported
Tool use: Can call external tools and APIs; Supported
Function calling: Structured function call interface; Supported
Extended thinking: Shows its chain-of-thought reasoning; Supported
Streaming: Returns tokens as they are generated; Supported
Prompt caching: Reuse repeated prompt prefixes cheaply; Supported

Not supported (2)

Web search: Can browse the web during a request; Not supported
Batch API: Process many requests asynchronously; Not supported

Best for

Jump to a guide or ranking that matches each workload.

Reasoning AI agents Multimodal Long documents RAG Chatbots

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Frequently asked questions

Short answers about context size and how this model behaves.

Gemini Flash Latest has a context window of 1M tokens (1,048,576 tokens). This million-token window can process entire codebases, long legal documents, or book-length texts in a single pass.

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Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Calculate your savings Learn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent

Full history

Repeated info

Old context

With Mem0~20K tokens sent

Key memories

Current turn

80% less to send — works with any model

Gemini Flash Latest

Context window

What fits in one request

Specifications

Capabilities

Best for

Compare Gemini Flash Latest

Frequently asked questions

More from Google

Use a smaller model.Get better results.

Use a smaller model.
Get better results.