Coding and issue resolution
Improves debugging, issue resolution, first-pass code accuracy, and production-ready code generation for software engineering workflows.
Gemini 3.7 Flash is a Google AI model for software engineering, web development, knowledge work, and agent workflows. It is available to developers through Google AI Studio, the Gemini API, Android Studio, and Google Antigravity, with enterprise and Gemini app access also described by Google.
Gemini 3.7 Flash is a Google AI model for software engineering, web development, knowledge work, and agent workflows. It is designed to handle multi-step planning, tool calls, instruction following, and production-oriented generation while reducing manual oversight and retries.
Compared with Gemini 3.6 Flash, Google reports improvements in debugging, issue resolution, code accuracy, web application generation, interface adherence, complex-document processing, and business workflow automation. The model is available through several Google developer and enterprise products, as well as Gemini Spark for eligible individual subscribers.
Improves debugging, issue resolution, first-pass code accuracy, and production-ready code generation for software engineering workflows.
Puts more effort into planning and tool calls, adapts to roadblocks, clarifies intent when needed, and follows instructions with greater fidelity.
Generates more functional layouts and feature-complete web applications in fewer prompts, supporting faster prototyping and implementation.
Can generate user interfaces based on a screenshot, image, or full design system, with an emphasis on adhering to the supplied reference.
Provides improved reasoning and accuracy for knowledge-dense material and supports business workflow automation, including complex-document and real-world task evaluations.
Ships with updated safeguards addressing misuse in chemical, biological, radiological, and nuclear domains as well as cyber offense; Google directs users to the model card for additional detail.
Use the model to investigate bugs, resolve issues, generate code, and work through engineering tasks that require planning and tool calls.
Turn prompts and visual or design-system references into functional layouts and feature-complete web applications.
Process complex documents and support work in fields such as finance, law, and biosciences where reasoning and accuracy are important.
Build agents that complete multi-step operational tasks with less manual intervention, using the model's stronger instruction following and tool-use behavior.
Eligible Google AI Pro and Ultra subscribers can use the model in Spark for workflows such as consolidating files, drafting emails, and updating status documents.
Google lists access through Google Antigravity, the Gemini API in Google AI Studio, and Android Studio. A developer guide is also provided on the introducing page.
Google says enterprises can access Gemini 3.7 Flash in the Gemini Enterprise Agent Platform and the Gemini Enterprise app.
Yes. Google says it is used by Gemini Spark in the Gemini app for Google AI Pro and Ultra subscribers in supported countries. Spark is described as being available to those subscribers in more than 160 countries.
Introductory pricing through December 31, 2026 is $0.75 per 1 million input tokens and $3.75 per 1 million output tokens. Starting January 1, 2027, Google states prices of $1.50 per 1 million input tokens and $7.50 per 1 million output tokens.
The source specifically describes software engineering, web development, knowledge work, complex-document processing, business workflow automation, and agent workflows involving planning and tool calls.
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