Text Generation Model

Gemini 3.7 Flash

Gemini 3.7 Flash is a text generation model from Google with a 1,048,576-token context window and configurable thinking levels.

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Publisher

Google

TypeText

Context Window1,048,576 tokens

ReleasedAugust 2026

Input$0.75/MTok

Output$3.75/MTok

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About Gemini 3.7 Flash

Fast reasoning with a massive context window

Gemini 3.7 Flash is a text generation model developed by Google, released in August 2026. It supports a context window of up to 1,048,576 tokens and a maximum response size of 65,536 tokens, making it suited for tasks that require processing large volumes of text in a single pass. The model accepts image inputs alongside text and supports tool use, enabling integration with external functions and APIs.

Gemini 3.7 Flash is designed for use cases that benefit from extended context, including long-document analysis, multi-turn reasoning, and code generation. A configurable thinking level input allows users to adjust how much reasoning the model applies before generating a response, offering a tradeoff between latency and depth of analysis. Its tool support makes it a practical choice for building agents or workflows that require the model to call external services or structured functions.

Capabilities

What Gemini 3.7 Flash supports

Large Context Window

Processes up to 1,048,576 tokens in a single request, enabling analysis of long documents, codebases, or extended conversation histories without truncation.

Configurable Reasoning

Exposes a Thinking Level input that lets users control how much reasoning the model applies before responding, balancing response depth against latency.

Code Generation

Generates, explains, and debugs code across common programming languages, supported by the model's reasoning capabilities and large context for multi-file tasks.

Tool Use & Agents

Accepts structured tool definitions and can call external functions or APIs during a conversation, enabling agent-style workflows and multi-step task execution.

Image Understanding

Accepts image inputs alongside text prompts, allowing the model to analyze, describe, or answer questions about visual content within a conversation.

Long-Form Text Generation

Produces responses up to 65,536 tokens, supporting detailed reports, summaries, or structured documents generated in a single output.

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FAQ

Common questions about Gemini 3.7 Flash

What is the context window size for Gemini 3.7 Flash?

Gemini 3.7 Flash supports a context window of 1,048,576 tokens, which allows it to process very long documents, large codebases, or extended conversation histories in a single request.

What is the maximum response length this model can produce?

The model has a maximum response size of 65,536 tokens per output, which is sufficient for generating long-form documents, detailed code, or extended analyses.

Does Gemini 3.7 Flash support image inputs?

Yes, the model accepts image inputs alongside text, enabling tasks such as image description, visual question answering, and multimodal reasoning.

What does the Thinking Level input control?

The Thinking Level is a configurable input that adjusts how much internal reasoning the model performs before generating a response. Higher thinking levels may improve answer quality on complex tasks at the cost of increased latency.

Can Gemini 3.7 Flash use external tools or APIs?

Yes, the model supports tool use, meaning you can provide structured function definitions and the model can call those tools during a conversation to retrieve data or perform actions.

When was Gemini 3.7 Flash released?

Gemini 3.7 Flash was released in August 2026 by Google.

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