Top New Generative AI Models Released This Week (15th – 19th Dec) – Features, Benchmarks & Use Cases
The week from December 15th to 19th, 2025, is the most consequential period in the history of artificial intelligence, without doubt. While 2024 was dominated by “chatting,” late 2025 is truly about “doing.” The transition has been from the passive use of large language models (LLMs) to the deployment of active Agentic AI systems that are able to reason, plan, and perform multi-step tasks across different software environments.
Staying ahead in the competition means that enrolling in a full-scale Generative AI Course not only counts as an “upskill” move anymore but is a necessity for the survival of professionals in the field where models have already proven to be better than humans in graduate-level reasoning.
Following is a thorough analysis of the revolutionary new products and services introduced this week and the significance of them for the industry as a whole.
1. Gemini 3 Flash: The New King of Agentic Reasoning
On the first day of the week, December 15th, 2023, Google DeepMind moved its Gemini 3 Flash to the public preview stage. The Gemini 3 Flash is not like earlier flash models which were speed-centric; it is made for agentic workflows.
Key Features
- Deep Think Mode: Such a high reasoning configuration lets the model spend more time on the issue and, thus, compute cycles before it provides the answer.
- 1 Million Token Context Window: So big that it can analyze the entire massive codebase or a year’s worth of legal documents all in one go.
- Multimodal Native Audio: Real-time audio signal processing is done without the necessity of text conversion beforehand, which makes “affective dialog” possible where the AI detects emotional tone.
Benchmarks
Research community has been astonished by the performance of Gemini 3 Flash when it achieved an incredible score of 91.9% on the GPQA Diamond, which is considered to be the most challenging test of all since it contains graduate-level science questions that even experts in the respective subjects find very difficult to answer.
Use Case
Autonomous Software Engineers: With the help of its 15-step reasoning chain, Gemini 3 Flash is capable of detecting a bug in a distributed system, providing the solution, conducting the tests, and pushing the request with an accuracy rate of 93%.
2. NANDA 87B: A Breakthrough for Indic Languages
On December 16th, G42 of Abu Dhabi in partnership with MBZUAI launched NANDA 87B, which is a customized version of Llama-3.1 70B that has been trained on Hindi data consisting of 65 billion tokens.
Key Features
- Hinglish Fluency: It has the capability of recognizing the complexities of the language switching between Hindi and English which is a common way of speaking in urban India, hence it is the first large model to do so.
- Hindi-Centric Tokenizer: Thus, this bespoke tokenizer lessens the “token tax” whereby the model for Hindi texts continues to be 30% faster and cheaper in comparison to GPT-4o.
Use Case
Regional Customer Support: Establishments across the Indian subcontinent are using NANDA 87B to build hyper-realistic voice bots that handle multifaceted financial queries in local parlances, bridging the digital divide for millions.
3. Veo 3.1: The Death of the “AI Look” in Video
On the 17th of December, Google’s Veo 3.1 became generally available (GA), introducing features that transition AI video from “cool demo” to “production-ready”.
Key Features
- Video Extension: After this, the user has the option of uploading a clip that is 5 seconds long and then the AI will logically extend the story for as long as 60 seconds while character consistency is kept.
- First and Last Frame Interpolation: The beginning frame and end frame can be given by you, and Veo 3.1 will “dream” up the film sequence that lies in between.
Benchmarks
In head-to-head human penchant tests, Veo 3.1 was rated 4x more representative in its behaviour of physics (liquids, hair, and gravity) associated to its predecessors.
4. DeepSeek-V3.2: The Open-Source Efficiency Monster
On December 18th, DeepSeek kept up its remarkable performance by introducing DeepSeek-V3.2, a model with 685 billion parameters based on Mixture-of-Experts (MoE) architecture.
Key Features
- Sparse Attention: The model activates just 37 billion parameters per token, which greatly speeds up the process.
- Computer Use SDK: Just like Anthropic’s “Computer Use” capability, DeepSeek is now providing an opportunity for the model to look at the screen of the desktop and even move the mouse to input information or to operate old software.
Benchmarks
It slashes 83.6% on the Online-Mind2Web standard, proving it can circumnavigate the web as efficiently as a human assistant.Comparison Table: Frontier Models Released Dec 15-19
| Model | Primary Strength | Context Window | Key Benchmark |
| Gemini 3 Flash | Agentic Reasoning | 1M Tokens | 91.9% GPQA Diamond |
| NANDA 87B | Indic Language/Hinglish | 128K Tokens | SOTA for Hindi LLMs |
| Veo 3.1 | Cinematic Video Gen | N/A | Highest Physics Fidelity |
| DeepSeek-V3.2 | Cost-Effective Automation | 128K Tokens | 83.6% Mind2Web |
The Rise of Agentic AI: Why You Need a “Generative AI Course”
The new products that are being launched this week confirm the statement: “prompting” is turning into a minor skill. The major force in the market is now understanding the AI Orchestration, mastering the assembling of agents (for instance, a Researcher, a Writer, and an Editor) that would independently collaborate.
This is clearly the case in the curricula of the contemporary Generative AI Courses. The students are trained up to the level of being able to:
- Multi-agent Frameworks: Mastering tools like LangChain, CrewAI, and AutoGen.
- RAG (Retrieval-Augmented Generation): Connecting AI to your private data without hallucinations.
- AgentOps: Monitoring and debugging autonomous AI agents in real-time.
Spotlight: Boston Institute of Analytics (BIA)
Boston Institute of Analytics (BIA) has become a global leader when it comes to the application of frontier technologies. Their course on Generative AI is perfect for everyone who wants to be on the cutting edge of AI and it is specially tailored to cover the exact models that were just released this week.
Why Choose Boston Institute of Analytics?
- Dual Certification: BIA is the first institution in the world to provide dual certification in Generative AI and Agentic AI, a move that will prepare you for the coming “autonomous agent” era.
- Industry-Led Faculty: BIA trainers are not merely researchers but are the clients of these tools and frameworks like Gemini and DeepSeek mentioned above.
- Hands-on Projects: Students are getting their hands dirty with 15+ projects that are real-world oriented such as creating multi-modal RAG systems and autonomous productivity assistants.
- Global Recognition: BIA not only has the prestige and network required for a high-level career transition with its presence in more than 7 countries and British Columbia Times ranking as the #1 International Training Institute but also has its name associated with the best.
“The Generative AI Course at BIA literally changed how I work. I’ve automated half of my daily tasks using the agentic workflows taught here.” — Esha N, Student Testimonial (Nov 2025)
Final Thoughts: The Window of Opportunity
The week of December 15, 2025, will be a significant landmark in the evolution of artificial intelligence as it became “agentic.” Now we can think much bigger and only limited to our creativity in designing the systems that can think for us.
So, if you are a programmer, data analyst, or even an executive, you really should not waste any more time in filling your knowledge gap. If you go to the Boston Institute of Analytics or any other first-rate course, registering in a Generative AI Course will ensure your seat at the front of the line of the greatest revolution in human technology ever.
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