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Google Launches Gemini 3.7 Flash: Major Leap in Coding and Agent Capabilities, Three-Week Iteration Sets New Speed Record for Low-Cost Models

TradingKey

AuthorAndy Chen

Aug 13, 2026 5:16 PM

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Google launched Gemini 3.7 Flash, accelerating low-cost agentic model development with enhanced performance in coding, web development, and complex knowledge-work. The new model significantly outperforms its predecessor across benchmarks, achieving 43.6% in FrontierCode 1.1 and 65.3% in DeepSWE v1.1. It features improved planning and tool calling for multi-step tasks, reducing developer manual intervention. Priced at $0.75 per million input tokens and $3.75 per million output tokens, the model delivers higher reasoning accuracy and enterprise automation capabilities, particularly in finance, law, and life sciences.

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TradingKey - Google (GOOGL) launched Gemini 3.7 Flash, further accelerating the iteration of low-cost agentic models. As the latest version in the Flash series, Gemini 3.7 Flash focuses on coding, agentic tasks, and complex knowledge-work scenarios, coming just three weeks after the release of Gemini 3.6 Flash.

Google stated that the new model demonstrates significant performance improvements over 3.6 Flash in software engineering, web development, and knowledge-intensive tasks. In terms of coding capabilities, Gemini 3.7 Flash better handles debugging, issue fixing, and production-grade code generation tasks.

Data released by the company shows that its score in the FrontierCode 1.1 Main benchmark was 43.6%, higher than 3.6 Flash's 34.4%; in the DeepSWE v1.1 long-horizon software engineering test, it scored 65.3%, also higher than the previous version's 49.0%.

In the web development domain, Gemini 3.7 Flash can generate more complete applications and interactive pages with fewer prompts, and can replicate UI styles based on screenshots, images, or full design systems. Its Elo rating in the Arena.ai WebDev Arena is 1588, higher than Gemini 3.6 Flash's 1538. The new model also showed improvements over the previous generation across multiple tests, including coding arenas, enterprise workflow automation, and complex document understanding.

For scenarios requiring the processing of complex materials, such as finance, law, and life sciences, Google said the new model's reasoning accuracy has been further enhanced. Specifically, Gemini 3.7 Flash scored 34.0% in the GDP.pdf complex document processing benchmark, higher than 3.6 Flash's 22.0%, and scored 30.4% in AutomationBench, which measures enterprise automation capabilities, showing a marked improvement over the previous generation's 17.0%.

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Source: News from Google

Google stated that Gemini 3.7 Flash allocates more planning and tool calling in multi-step tasks, can better adjust its execution path when encountering obstacles, and improves instruction comprehension and adherence, thereby reducing manual intervention and trial-and-error by developers in engineering workflows.

In terms of pricing, Gemini 3.7 Flash's input price is $0.75 per million tokens, and its output price is $3.75 per million tokens.

This content was translated using AI and reviewed for clarity. It is for informational purposes only.

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Disclaimer: The content of this article solely represents the author's personal opinions and does not reflect the official stance of Tradingkey. It should not be considered as investment advice. The article is intended for reference purposes only, and readers should not base any investment decisions solely on its content. Tradingkey bears no responsibility for any trading outcomes resulting from reliance on this article. Furthermore, Tradingkey cannot guarantee the accuracy of the article's content. Before making any investment decisions, it is advisable to consult an independent financial advisor to fully understand the associated risks.

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