On the early morning of May 20, 2026, the Google I/O 2026 Developer Conference officially kicked off. Gemini 3.5 Flash, as the core heavyweight product of this conference, was launched globally. With its three core advantages of extreme speed, flagship performance, and free openness, it has become a disruptive product in the field of AI big models, completely rewriting the rules of industry competition.
This new model developed by Google DeepMind is positioned as Google's strongest intelligent agent and programming model to date, breaking through the industry pain points of "weak performance of lightweight models and slow speed of flagship models". It achieves comprehensive breakthroughs in three dimensions: intelligence level, operational efficiency, and usage cost. Starting today, it is open to global users for free use, significantly reducing the application threshold of top AI technology.
The core parameters are fully loaded, and the speed and performance have achieved double breakthroughs
Gemini 3.5 Flash has achieved a leapfrog upgrade in technical specifications, with core performance indicators far exceeding industry expectations:
output speed
Output over 280 tokens per second, with a peak of 289 tokens per second, which is 4 times faster than GPT-5.5 and Claude Opus 4.7. After optimization with Antigravity 2.0, the speed can be increased by 12 times, and the response delay can be reduced to milliseconds.
Model positioning
Focusing on intelligent agent tasks, code generation, multimodal understanding, balancing long context processing and complex reasoning, adapting to enterprise level long cycle tasks and personal daily use scenarios.
Open policy
Free for global users, it has become the default model for Gemini App and Google Search AI mode, synchronized with the launch of Gemini API interface, supporting developers to quickly integrate and call.
cost advantage
The comprehensive usage cost is less than 50% of other cutting-edge models, and large-scale deployment by enterprises can significantly reduce computing power investment, saving top enterprises over $1 billion in annual costs.
Benchmark testing surpasses previous generations, with multiple indicators reaching the top of the industry
According to authoritative evaluation data released by Google, Gemini 3.5 Flash has surpassed the previous flagship model Gemini 3.1 Pro in core benchmark tests such as programming ability, intelligent agent execution, multimodal understanding, and real-world tasks, with some indicators leading the world's mainstream models.
1. Programming and intelligent agent core testing
Terminal bench 2.1 (programming ability) | 76.2%
Exceeding 70.3% of Gemini 3.1 Pro and increasing by 5.9%
MCP Atlas (Tool Call) | 83.6%
Exceeding 78.2% of Gemini 3.1 Pro and increasing by 5.4%
GDPval AA (Real Economy Task) | 1656 points
Far exceeding Gemini 3.1 Pro's 1314 points, an increase of 342 points
SWE Bench Pro (Engineering Development) | 53.9%
Basically on par with 54.2% of Gemini 3.1 Pro
2. Multimodal and complex task testing
CharXiv Reasoning | 84.2%
Achieved the highest score of the game, surpassing 84.1% of GPT-5.5 and 82.1% of Claude Opus 4.7
OSWorld Verified (UI Control) | 78.4%
Close to 78.0% of Claude Opus 4.7 and 78.7% of GPT-5.5, with full interaction capability
Finance Agent v2 (Financial Professional Task) | 57.9%
Far exceeding the 43.0% of Gemini 3.1 Pro, the adaptability in professional fields has significantly improved
3.Long context and reasoning ability
MRCRv2 (Long Context Retrieval) | 77.3%
Support ultra long text processing, suitable for scenarios such as document analysis and data summarization
ARC-AG1-2 (Logical Reasoning) | 72.1%
The reasoning ability for complex problems is close to the level of flagship models, balancing speed and accuracy
Technological advantages reconstruct scenarios, covering the needs of the entire industry
Gemini 3.5 Flash is not simply a parameter upgrade, but a reconstruction of AI application scenarios through the ultimate balance of speed and performance, addressing long-term pain points in the industry
① Revolution in Development Efficiency
The entire process of code generation, debugging, and deployment can be accelerated, and days of research and development tasks can be shortened to the hour level, reducing developer time and trial and error costs.
② Intelligent agent task optimization
Support multi-step tool calling and cross platform execution, suitable for automated office work, data auditing, batch processing, and other long cycle complex tasks. Audit work that takes several weeks can be quickly completed.
③ Multi modal all-around adaptation
Outstanding comprehensive understanding ability of text, images, and data, suitable for diverse scenarios such as content creation, academic research, design assistance, and educational Q&A.
④ Universal AI landing
The free and open policy allows individual users and small and medium-sized teams to use top-notch AI capabilities without having to bear high costs, promoting the popularization of AI technology for all.
The industry has a profound impact, ushering in an era of inclusive big models
The release of Gemini 3.5 Flash marks a new stage in Google's big model strategy of "speed+performance+inclusiveness", which has three profound impacts on the global AI industry:
Breaking down technological barriers: Free access to top models, forcing the industry to lower usage barriers, and promoting AI technology from enterprise exclusive to universally available.
Refactoring the competitive landscape: With the advantages of "lightweight model performance surpassing flagship, speed surpassing competitors, and cost halving", change the industry pricing and product positioning rules.
Accelerate application implementation: With ultimate speed and low cost characteristics, cutting-edge scenarios such as AI intelligent agents, automation development, and multimodal interaction can be quickly implemented, promoting industrial digital upgrading.
Google Gemini 3.5 Flash, with its core advantages of 4x output speed, flagship performance, and global free and open access, has become the benchmark product in the field of AI big models by 2026. It not only achieves comprehensive breakthroughs in technology, but also enables top AI technologies to reach more users through inclusive policies, providing efficient and low-cost AI solutions for developers, enterprises, and individuals, and promoting the development of the artificial intelligence industry towards faster, smarter, and more inclusive directions.
In the future, with the subsequent release of Gemini 3.5 Pro, Google's large model family will further improve its layout and continue to lead global AI technology innovation and application landing.
