Gemini 3.7 Flash · prompt
Turn “Introducing Gemini 3.7 Flash — coding and agent workflows” into a bounded task entry with explicit inputs, runtime context, output format, and acceptance checks; confirm the model version and source limits before use.
Implement {{USER_FLOW}} in {{REPOSITORY}}. Use only {{TOOLS}}, run {{ACCEPTANCE_TESTS}}, and report failures and unverified assumptions.Replace before running: {{REPOSITORY}}, {{USER_FLOW}}, {{TOOLS}}, {{ACCEPTANCE_TESTS}}
Convert a coding or agent request into a work contract containing the goal, context, authorized tools, and acceptance checks.
Use the Gemini 3.7 Flash API or agent harness with a pinned repository, tool schemas, permission boundary, test command, and rollback point.
Ask for a short plan, constrain tools to the allowlist, implement in small checkpoints, and run the stated tests before reporting completion. Save the diff and tool trace.
Accept only a tested diff with explicit remaining risks. If a tool fails or an assumption is unverified, stop at that checkpoint and report it rather than claiming success.
This is an editorial adaptation of the official workflow guidance; it is not a universal coding success rate.
The official article presents task patterns for using the model in complex software engineering, web development, long documents, and tool calling; it can serve as a prompt-design reference for “goal—context—tools—acceptance criteria.”
The following preserves the body text extracted from the page during this visit; visible page text such as navigation, the platform’s automatic translation, and comments is retained as-is.
Skip to main content Innovation & AI Products & platforms Company news Feed Subscribe Home Innovation & AI Models & research Gemini Models Introducing Gemini 3.7 Flash
Aug 13, 2026
Our most intelligent workhorse model yet for coding and agents.
Tulsee Doshi
Senior Director, Product Management, on behalf of the Gemini team
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Today, we’re building on the progress of our widely used Flash series by introducing Gemini 3.7 Flash, our most intelligent workhorse model yet for coding and agents.
This release comes just three weeks after Gemini 3.6 Flash, and is a direct result of developer feedback and algorithmic innovations that we look forward to bringing to future models. 3.7 Flash delivers substantial improvements across software engineering, knowledge work, and web development workflows — with an introductory price of half the original 3.6 Flash cost per million tokens.
Better intelligence for complex workflows
3.7 Flash shows strong gains over 3.6 Flash in coding tasks like debugging and issue resolution. It also achieves higher first-pass code accuracy and has improved performance in generating production-ready code as seen in FrontierCode 1.1 Main (43.6% vs 34.4%) and DeepSWE v1.1 (65.3% vs 49.0%).
In web development, 3.7 Flash generates more functional layouts and feature-complete apps in fewer prompts. For UI generation, the model shows high design adherence and parity based on a reference input, whether it’s a screenshot, an image, or a full design system. It outperforms 3.6 Flash on Arena.ai’s WebDev Arena with an Elo score of 1588 vs 1538.
For knowledge-dense fields like finance, law, and biosciences, 3.7 Flash delivers improved reasoning and accuracy. It significantly outperforms 3.6 Flash on the GDP.pdf benchmark (34.0% vs 22.0%), an eval for testing a model’s ability to process complex documents. It also surpasses 3.6 Flash in AutomationBench, demonstrating it can more effectively complete real-world business workflows (30.4% vs 17.0%).
Better developer experience and price
Gemini 3.7 Flash delivers a noticeably improved developer experience over 3.6 Flash. It better adapts to roadblocks, clarifies intent when needed, and follows instructions with greater fidelity. It thinks more diligently, putting in more effort into multi-step planning and tool calls. A more disciplined execution means less manual oversight and fewer retries across engineering workflows.
3.7 Flash is available through the end of the year at an introductory price 1 of $0.75/1M input tokens and $3.75/1M output tokens. This price combined with the enhanced model performance enables developers and customers to scale production-ready agents cost effectively.
Early customer feedback is highlighting 3.7 Flash’s performance and precision, achieving results that are significantly better than 3.6 Flash at a low cost.
Improving Gemini Spark with 3.7 Flash
Gemini Spark, available to Google AI Pro and Ultra subscribers in over 160 countries, will be using Gemini 3.7 Flash starting today. We launched Spark at I/O as your personal AI agent that runs 24/7, taking action on your behalf while under your direction. This model update makes Spark more efficient for knowledge work with improved tool use for Google Workspace apps, delivering improved accuracy and output quality for complex, multi-skill workflows.
Built with safety in mind
We continually work to improve the coverage and robustness of Frontier Safety safeguards. Gemini 3.7 Flash is shipping with updated safeguards against misuse in the domains of Chemical, Biological, Radiological, and Nuclear (CBRN) and cyber offense, while enabling beneficial use cases, in accordance with our approach to bioresilience and our cyber program.
For more information, see the 3.7 Flash model card.
Try it today Developers: Explore agent-first workflows in Google Antigravity or start building today in the Gemini API via Google AI Studio and Android Studio. Get started with our developer guide. Enterprises: Access 3.7 Flash in Gemini Enterprise Agent Platform and the Gemini Enterprise app. Individuals: Available via Spark, your 24/7 personal agent in the Gemini app for Google AI Pro and Ultra subscribers in supported countries. Detailed benchmarks Get the latest news from Google in your inbox
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Introductory pricing expires on December 31, 2026. Starting January 1, 2027, $1.50/1M input tokens and $7.50/1M output tokens will apply.
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This document archives source material and does not represent an endorsement of the original article’s conclusions by Tabbit or the maintainer of this document. When citing benchmark scores, prices, or model capabilities, return to the original article to verify the version, test set, and date.
Google Blog · Source date: Not disclosed · Edited: 2026-09-20
Read the original sourceGemini 3.7 Flash
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