Amongst this week's model releases were Nvidia's Nemotron 3, OpenAI's ChatGPT Images and Google's Gemini Flash 3. Rumors are strong that GLM-4.7 and MiniMax 2.1 are imminent in their release.
wrt tooling, Wispr Flow is now offering in India Purchasing Power Parity pricing of ₹320 ($3.5) per month instead of $12 per month
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The following messages were posted on the 'All Things AI' Telegram group from Sunday 14th Dec 2025 to Saturday 20th Dec 2025
Nvidia launches Nemotron 3, a family of AI models using a hybrid mixture-of-experts architecture and the Mamba-Transformer design, in 30B, 100B, and ~500B sizes
This 31.6 billion parameter model uses a mixture-of-experts design, activating just 3.6 billion per token for top efficiency. It handles a 1 million token context and excels on benchmarks like SWE-Bench Verified at 38.8% for coding and GPQA Diamond for reasoning, beating rivals while running faster. Developers can run it locally on 24GB RAM, with full datasets, recipes, and tools released openly for commercial use
https://www.wired.com/story/nvidia-becomes-major-model-maker-nemotron-3/
1 | From OpenAI Introducing ChatGPT Images, powered by our flagship new image generation model. - Stronger instruction following - Precise editing - Detail preservation - 4x faster than before Rolling out today in ChatGPT for all users, and in the API as GPT Image 1.5. |
2 | For folks based in India and looking for a good voice dictation which is reasonably priced Wispr Flow now has localized Indian pricing of ₹320 ($3.5) per month instead of $12 per month for annual billing. In effect using a form of PPP (Purchasing Power Parity) pricing model. Here's my referral link which gives you one month of free Pro subscription |
3 | China's Xiaomi released MiMo-V2-Flash, an open-source Mixture-of-Experts LLM with 309B total parameters, 15B active parameters, and a 256k context window. The “hybrid thinking” switch controls whether it spends extra steps reasoning before answering, and the HTML generation and long context are aimed at agent loops where the model writes code, calls tools, reads outputs, and keeps going for hundreds of turns. Fuli Luo from the Xiaomi Mimo team is an ex-founding member of DeepSeek and core author of DeepSeek-V2. |
Google Launches Gemini 3 Flash for Speed and Smarts
This new model tops benchmarks like GPQA Diamond at 90.4% and SWE-bench at 78%, beating Gemini 2.5 Pro and even Gemini 3 Pro in spots. It shines in coding, video analysis, and tool use, all at a quarter of the Pro model's cost—$0.50 per million input tokens. Leaders like Sundar Pichai and Demis Hassabis call it the best balance of power and efficiency, now live in apps, Search, and APIs for everyday and business tasks. Developers can build fast agentic workflows with it right away.
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The cover image of this newsletter via generated via the Seedream 4.5 model within the Freepik tool via the following prompt
lush forest, misty woods, ancient trees, verdant canopy, atmospheric light, woodland scenery, moss-covered stones, nature depth, cinematic forest lighting, enchanted woodland, soft fog, forestscape
Faster than Fast. Designed for Agentic AI.
Highlights:
Hybrid Attention: 5:1 interleaved 128-window SWA + Global | 256K context
China's Xiaomi released MiMo-V2-Flash, an open-source Mixture-of-Experts LLM with 309B total parameters, 15B active parameters, and a 256k context window.
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Yusuf Goolamabbas
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