Google's new Flash model claims frontier-level coding and agentic performance at four times the speed of competing models and less than half the cost.
Google has released Gemini 3.5 Flash, the first model in its new Gemini 3.5 family, positioning it as a high-speed, low-cost option for developers building agentic and coding applications. [1] A companion model, Gemini 3.5 Pro, is already in internal use and is scheduled to roll out next month. [1]
The company says 3.5 Flash outperforms its predecessor, Gemini 3.1 Pro, on several agentic and coding benchmarks, including Terminal-Bench 2.1 (76.2%), GDPval-AA (1,656 Elo), and MCP Atlas (83.6%), and leads on multimodal understanding with a score of 84.2% on the CharXiv Reasoning benchmark. [1] Google also claims the model generates output tokens at four times the speed of other frontier models. [1]
Pricing is positioned as a competitive differentiator: Google states that 3.5 Flash can complete complex tasks at less than half the cost of other frontier models. [1] The model lands in the top-right quadrant of the Artificial Analysis index, a third-party benchmark that tracks the relationship between model quality and speed. [1]
For developers, 3.5 Flash is generally available through the Gemini API in Google AI Studio and Android Studio, the Google Antigravity orchestration harness, the Gemini Enterprise Agent Platform, and Gemini Enterprise. [1] It is also now the default model powering the Gemini app and AI Mode in Google Search globally. [1]
A key capability highlighted by Google is the model’s integration with its Antigravity harness, which enables deployment of collaborative subagents for multi-step, long-horizon workflows. [1] Google describes use cases ranging from automatically renaming and categorizing unstructured assets to synthesizing research papers and generating playable games. [1]
Several enterprise partners are already piloting the model. Shopify is using parallel subagents to analyze data for merchant growth forecasting. [1] Macquarie Bank is testing the model’s ability to reason over documents exceeding 100 pages to accelerate customer onboarding. [1] Salesforce is integrating 3.5 Flash into its Agentforce platform to automate enterprise tasks using multi-turn tool calling. [1] Xero is deploying agents to manage multi-week workflows such as gathering supplier information for 1099 tax forms. [1] Databricks is applying agentic workflows to monitor real-time data, diagnose issues, and propose fixes for data scientists. [1] Fintech company Ramp is using the model’s multimodal understanding to improve optical character recognition (OCR) on complex invoices. [1]
On the consumer side, Google is introducing Gemini Spark, a personal AI agent powered by 3.5 Flash that is described as running continuously to take actions on a user’s behalf. [1] Spark is beginning to roll out to trusted testers, with a beta planned for Google AI Ultra subscribers in the United States the following week. [1]
Google says Gemini 3.5 was developed under its Frontier Safety Framework, with strengthened safeguards against generating harmful content in cybersecurity and chemical, biological, radiological, and nuclear (CBRN) domains. [1] The company also notes the use of interpretability tools designed to examine the model’s internal reasoning before it produces a response. [1]
Sources
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