惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

P
Proofpoint News Feed
云风的 BLOG
云风的 BLOG
Apple Machine Learning Research
Apple Machine Learning Research
Hugging Face - Blog
Hugging Face - Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Google DeepMind News
Google DeepMind News
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
雷峰网
雷峰网
B
Blog
月光博客
月光博客
博客园 - 【当耐特】
WordPress大学
WordPress大学
Microsoft Azure Blog
Microsoft Azure Blog
I
InfoQ
The GitHub Blog
The GitHub Blog
Engineering at Meta
Engineering at Meta
Jina AI
Jina AI
博客园 - Franky
MyScale Blog
MyScale Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Last Week in AI
Last Week in AI
B
Blog RSS Feed
H
Help Net Security

Google DeepMind News

Strengthening Singapore’s AI Future: A New National Partnership Simulate real-world places with Project Genie and Street View Introducing Gemini Omni Gemini for Science: AI experiments and tools for a new era of discovery Making it easier to understand how content was created and edited Gemini 3.5: frontier intelligence with action Co-Scientist: A multi-agent AI partner to accelerate research How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica Fast-tracking genetic leads to reverse cellular aging Finding the molecular switches behind new infectious diseases Opening new paths in aging research Accelerating discovery of liver disease mechanisms Uniting biological toolkits for a new approach to ALS Uncovering repurposed medicines to fight liver fibrosis Google Antigravity We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks. AlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields Enabling a new model for healthcare with AI co-clinician Announcing our partnership with the Republic of Korea Decoupled DiLoCo: A new frontier for resilient, distributed AI training Partnering with industry leaders to accelerate AI transformation Gemini 3.1 Flash TTS: the next generation of expressive AI speech Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning Protecting people from harmful manipulation From games to biology and beyond: 10 years of AlphaGo’s impact A new way to express yourself: Gemini can now create music Accelerating discovery in India through AI-powered science and education Accelerating Mathematical and Scientific Discovery with Gemini Deep Think D4RT: Teaching AI to see the world in four dimensions Veo 3.1 Ingredients to Video: More consistency, creativity and control
Gemini 2.5: Updates to our family of thinking models
Shrestha Basu Mallick, Logan Kilpatrick · 2025-06-17 · via Google DeepMind News

Today we are excited to share updates across the board to our Gemini 2.5 model family:

  • Gemini 2.5 Pro is generally available and stable (no changes from the 06-05 preview)
  • Gemini 2.5 Flash is generally available and stable (no changes from the 05-20 preview, see pricing updates below)
  • Gemini 2.5 Flash-Lite is now available in preview

Gemini 2.5 models are thinking models, capable of reasoning through their thoughts before responding, resulting in enhanced performance and improved accuracy. Each model has control over the thinking budget, giving developers the ability to choose when and how much the model “thinks” before generating a response.

Overview of our family of Gemini 2.5 thinking models

Overview of our family of Gemini 2.5 thinking models

Introducing Gemini 2.5 Flash-Lite

Today, we’re introducing 2.5 Flash-Lite in preview with the lowest latency and cost in the 2.5 model family. It’s designed as a cost-effective upgrade from our previous 1.5 and 2.0 Flash models. It also offers better performance across most evals, and lower time to first token while also achieving higher tokens per second decode. This model is great for high throughput tasks like classification or summarization at scale.

Gemini 2.5 Flash-Lite is a reasoning model, which allows for dynamic control of the thinking budget with an API parameter. Because Flash-Lite is optimized for cost and speed, “thinking” is off by default, unlike our other models. 2.5 Flash-Lite also supports all of our native tools like Grounding with Google Search, Code Execution, and URL Context in addition to function calling.

Benchmarks for Gemini 2.5 Flash-Lite

Benchmarks for Gemini 2.5 Flash-Lite

Updates to Gemini 2.5 Flash and pricing

Over the last year, our research teams have continued to push the pareto frontier with our Flash model series. When 2.5 Flash was initially announced, we had not yet finalized the capabilities for 2.5 Flash-Lite. We also launched with a “thinking” and “non-thinking price”, which led to developer confusion.

With the stable version of Gemini 2.5 Flash rolling out (which is the same 05-20 model preview we made available at Google I/O), and the incredible performance of 2.5 Flash, we are updating the pricing for 2.5 Flash:

  • $0.30 / 1M input tokens (*up from $0.15 input)
  • $2.50 / 1M output tokens (*down from $3.50 output)
  • We removed the thinking vs. non-thinking price difference
  • We kept a single price tier regardless of input token size

While we strive to maintain consistent pricing between preview and stable releases to minimize disruption, this is a specific adjustment reflecting Flash’s exceptional value, still offering the best cost-per-intelligence available.

And with Gemini 2.5 Flash-Lite, we now have an even lower cost option (with or without thinking) for cost and latency sensitive use cases that require less model intelligence.

Pricing updates for our Gemini Flash family

Pricing updates for our Gemini Flash family

If you are using the Gemini 2.5 Flash Preview 04-17 , the existing preview pricing will remain in effect until its planned deprecation on July 15, 2025, at which point that model endpoint will be turned off. You can transition to the generally available model “gemini-2.5-flash”, or switch to 2.5 Flash-Lite Preview as a lower cost option.


Continued growth of Gemini 2.5 Pro

The growth and demand for Gemini 2.5 Pro continues to be the steepest of any of our models we have ever seen. To allow more customers to build on this model in production, we are making the 06-05 version of the model stable, with the same pareto frontier price point as before.

We expect that cases where you need the highest intelligence and most capabilities are where you will see Pro shine, like coding and agentic tasks. Gemini 2.5 Pro is at the heart of many of the most loved developer tools.

Top developer tools using Gemini 2.5 Pro, featuring Cursor, Bolt, Cline, Cognition, Windsurf, GitHub, Lovable, Replit, and Zed Industries

Top developer tools using Gemini 2.5 Pro

If you are using 2.5 Pro Preview 05-06, the model will remain available until June 19, 2025 and then will be turned off. If you are using 2.5 Pro Preview 06-05, you can simply update your model string to “gemini-2.5-pro”.

We can’t wait to see even more domains benefit from the intelligence of 2.5 Pro and look forward to sharing more about scaling beyond Pro in the near future.