Google DeepMind released Gemma 4, an open-weights multimodal model family in four sizes (2.3B to 31B parameters) with context windows up to 256K tokens. All models support text and image input, with audio native to E2B and E4B variants. The Gemma 4 31B dense model scores 85.2% on MMLU Pro, 89.2% on AIME 2026, and 80.0% on LiveCodeBench—significant improvements over Gemma 3.
April 8, 2026
Alibaba released Qwen3.6 Plus on April 2, 2026, featuring a 1 million token context window at $0.50 per million input tokens and $3 per million output tokens. The model combines linear attention with sparse mixture-of-experts routing to achieve a 78.8 score on SWE-bench Verified, with significant improvements in agentic coding, front-end development, and reasoning tasks.
Anthropic has developed Mythos, an AI model capable of generating working zero-day exploits with a 72.4% success rate, compared to Claude Opus 4.6's near-zero capability. The company declined public release due to security risks and instead created Project Glasswing, a limited-access program for 40+ organizations including AWS, Apple, Google, and Microsoft to find vulnerabilities in their own systems.
Anthropic announced Claude Mythos Preview, a new frontier model with advanced reasoning capabilities that can identify and chain together multiple vulnerabilities into novel attacks—abilities the company says outpace current defensive capabilities. The model has already discovered thousands of high-severity vulnerabilities including a 27-year-old OpenBSD flaw and exploits for multiple operating systems. To manage the risk, Anthropic launched Project Glasswing, granting early access to 40+ companies including Apple, Google, Microsoft, and Cisco, providing $100M in usage credits for defensive security work.
Anthropic has announced Project Glasswing, a new initiative to secure critical software infrastructure against AI-powered attacks. The project includes 11 major partners including Amazon, Apple, Google, Microsoft, and NVIDIA, and will use Claude Mythos Preview, an unreleased general-purpose model from Anthropic that claims to have found thousands of exploitable vulnerabilities across major operating systems and web browsers.
Arcee, a 26-person U.S. startup, released Trinity Large Thinking, an open-source reasoning model it claims is the most capable open-weight model ever released by a non-Chinese company. Built on a $20 million budget, the model competes with other top open-source offerings while maintaining Apache 2.0 licensing, positioning itself as an alternative to both closed-source Western models and Chinese alternatives.
Z.ai has released GLM-5.1, a 754-billion parameter open-weight model matching the size of its predecessor GLM-5. The model demonstrates improved ability to generate complex, multi-part outputs like HTML pages with SVG graphics and CSS animations, available via Hugging Face and OpenRouter.
X is rolling out an updated in-app photo editor that integrates Grok to enable text-based image edits alongside traditional tools like blur, text overlay, and drawing. The feature brings X's editing capabilities closer to Google Photos' conversational editing.
Anthropic has not publicly released Claude Mythos, instead restricting access to a vetted set of partners through Project Glasswing. The company claims the model's cybersecurity research abilities—including finding thousands of high-severity vulnerabilities in major operating systems and browsers—warrant controlled deployment until industry safeguards mature.
Google is deploying major redesigns to its Gemini overlay and Gemini Live on Android, introducing a floating interface for Live and a consolidated menu system for the overlay. The updates are rolling out in Google app beta version 17.3 and represent the third major visual overhaul in as many months.
Google DeepMind has released Gemma 4 26B A4B, a free instruction-tuned Mixture-of-Experts model with 262,144 token context window and multimodal capabilities including text, images, and video input. Despite 25.2B total parameters, only 3.8B activate per token, delivering performance comparable to larger 31B models at reduced compute cost.
Google DeepMind has released Gemma 4 31B Instruct, a free 30.7-billion parameter model with a 256K token context window, multimodal text and image input capabilities, and native function calling. The model supports configurable reasoning mode and 140+ languages, with strong performance on coding and document understanding tasks under Apache 2.0 license.
An independent study by AI startup Oumi found that Google's AI Overviews answered correctly 91% of the time with Gemini 3, up from 85% with Gemini 2, based on 4,326 searches using the SimpleQA benchmark. However, 56% of correct answers in Gemini 3 could not be verified through the linked sources—a significant increase from 37% in Gemini 2—and at Google's scale, a 9% error rate still translates to millions of wrong answers per hour.