GDM last shipped a larger-than-Flash model in February ( 3.1 Pro ), and after successive incremental 3.x Flash versions and the big GDM management shakeup last month, the largest question for GDM was when they would catch up to peers who have in the meantime launched Fable and Astra class models.
Google unveiled Gemini 4 Argon, its new frontier model that closes the gap with rivals from OpenAI and Anthropic, beating some of them on key benchmarks. While it may not clearly lead the pack, it is relatively cheap for a frontier model, at least at the introductory price.
Google parent company Alphabet has launched Gemini 4 Argon, a new AI model built to handle a variety of tasks such as coding, research, and writing. But it’s cybersecurity that Gemini 4 Argon is supposed to have a particular knack for, according to Google.
Sep 30, 2026 | Gemini 4 Argon delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. Today, we’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program.
Simon Willison commented that GPT 6.1 Sol offered intelligence close to Astra at one-fifth of the price. Published on 29 September 2026, the article is tagged OpenAI, generative AI, LLM and GPT.
OpenAI's new GPT-6.1 Sol is supposed to come close to GPT-6 Astra for a fraction of the cost. The planned flagship model Astra is staying under wraps because of safety problems. OpenAI is betting on cost efficiency over peak performance.
Anthropic released its mid-tier Sonnet 5.5 model, saying it is 30% faster than Sonnet 5 and consumes tokens substantially more slowly. It is positioned as an everyday task assistant for coding and office document generation.
OpenAI unveiled GPT-6.1 Sol at DevDay, claiming near-GPT-6 Astra intelligence in agentic coding, computer use and professional work, with standard input and output token prices just one-fifth as much.
NVIDIA released Kumo Tabular, an open-source tabular foundation model that predicts labels for new rows in a single forward pass given labelled rows, without training, tuning or feature engineering. It supports classification and regression, offers three sizes from 28M to 215M, and was pretrained solely on artificially generated tables. It uses the commercially usable OpenMDW-1.1 licence and ranks first on TabArena, BeyondArena, TALENT and ScoringBench.
ElevenLabs released Eleven v4, which follows emotion, pause and sound-effect tags in scripts more accurately and maintains a consistent voice in long productions. The architecture also powers Turbo, starting speech output in around 150 milliseconds in official tests, compared with 262 milliseconds for Cartesia Sonic 3.6 and 814 milliseconds for OpenAI GPT-4o mini TTS.
OpenAI has released GPT-6.1 Sol, which it says offers intelligence close to Astra and is aimed at coding, computer use and professional work. The model's API input and output token prices are one fifth of Astra's standard price.
Anthropic released Claude Sonnet 5.5, officially claiming over 30% faster operation and up to 30% lower cost for most work. Pricing matches Sonnet 5, but it outperforms Sonnet 5 on every benchmark.
AWS announced Claude Sonnet 5.5 availability on Amazon Bedrock and Claude Platform on AWS, positioning it as a more efficient Sonnet for coding and knowledge work, with lower cost per task and faster speeds for most tasks.
Anthropic released Claude Sonnet 5.5, the second model in the Claude 5.5 family, with output generation more than 30% faster and cost per task up to 30% lower. It approaches Opus 5.5 on several benchmarks.
H released the Holo4 agent model family, comprising 27B dense and 35B-A3B MoE versions. Both are available through H Models API, with weights open-sourced on Hugging Face in BF16, FP8, NVFP4 and 4-bit GGUF formats.
Google DeepMind released Gemini 3.8 Live with Live Avatar, adding near-real-time video generation to a native live conversation model to create a dynamic visual avatar that can hear, see and speak. It is available on Gemini Enterprise from today.
Liquid AI released experimental draft model LFM2.5-VL-DSpark for vision-language model LFM2.5-VL-3B. Speculative decoding speeds it up without changing output quality: decoding improves by up to 3.13x on devices and 2.66x on H100, with end-to-end gains of up to 2.62x and 2.27x respectively.
Google DeepMind released Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS. The former targets character design and line-by-line performance direction, while the latter targets high-concurrency voiceovers and voice agents.
Anthropic released Claude Opus 5.5, calling it the first model in the new Claude 5.5 family, matching Claude Fable 5.1 on most tasks at 40% lower running costs than Opus 5. It becomes the default model in Claude Code and the Claude app.
OpenAI released GPT-6 Sol and Luna, bringing frontier intelligence to everyday work with different balances between capabilities and cost.
Xiaomi released the MiMo-V2.6 family, including omnimodal models MiMo-V2.6-Pro and MiMo-V2.6-Flash, plus MiMo-V2.6-Pro-UltraSpeed with up to 20 times faster output.
TypeSafe AI released Jev last week, calling it the first example of a new System One model category, though the author prefers decision model. It takes text and returns floating-point values and confidence for categories, yes/no questions and scores. Only input is billed, at $0.042 per million tokens for the first model. The author sees uses in spam detection, tagging and ranking, has tried search reranking, and notes weaknesses with numbers, dates and adversarial content.
Google DeepMind released two real-time conversation models, Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking. The former targets scale and cost efficiency, while the latter targets complex tasks and multistep reasoning.
OpenAI launched GPT-Live-1 in the API, supporting natural full-duplex voice conversations with stronger instruction following, custom voices and telephony support.
OpenAI released GPT-6 Astra, calling it its most capable enterprise model, with advanced reasoning, computer use and stronger writing and design judgement.
Google DeepMind and Google Research released WeatherNext 3, calling it the most advanced and accurate global weather model available. It learns directly from real-time geostationary Earth-observation satellite data and generates hourly forecasts, with five-kilometre resolution for key surface variables and roughly five times the overall detail of WeatherNext 2.
Hugging Face launched NeoMME in 260M and 800M sizes. A single bidirectional Transformer handles text tokens and 32×32 image patches, trained from scratch with a masked discrete diffusion objective rather than pretrained vision towers or causal language models.
Google DeepMind released Gemini 3.8 Flash and Gemini 3.8 Flash Cyber. The former targets long-horizon coding and autonomous agents, priced like 3.7 Flash at $0.75 per million input tokens and $3.75 per million output tokens.
Google Research released TimesFM-3, its first time-series foundation model pretrained natively for multivariate forecasting, with 330 million parameters and over 1 trillion pretraining time points.
Microsoft Research introduced GigaPath-Flash and GigaTIME-Flash, greatly reducing pathology compute requirements with a 22M-parameter ViT-S backbone distilled from the billion-parameter GigaPath encoder, open-source under Apache 2.0.
Google DeepMind released Gemini Omni 1.1 Flash, offering developers more controllable video generation through the Gemini API in Google AI Studio.
Google DeepMind released Gemini 3.5 Transcribe, calling it the most accurate speech-to-text model available, converting raw audio directly into accurate, formatted text.
The IBM Granite team released Granite 4.2, its first dense, decoder-only reasoning model family, in 3B, 8B and 30B sizes, all open-source under Apache 2.0.
Google DeepMind released Gemini 3.7 Flash, positioning it as its strongest workhorse model for coding and agents, just three weeks after Gemini 3.6 Flash.
Google DeepMind released SL2T, a multilingual sign-language-to-text model, bringing the capability to consumer products for the first time. Gboard and Live Transcribe on Pixel 11 support ASL-to-English dictation, with more devices and languages to follow.
Meta released Muse Glimmer, a multimodal model distilled from Muse to 30B parameters under Apache 2.0, targeting local agent use cases such as coding, document analysis and personal assistants.
Google DeepMind released the WeatherNext AI model, achieving state-of-the-art cyclone track, intensity and wind-field structure forecasts and adding an average extra day of warning, equivalent to roughly a decade of meteorological progress.
Mistral AI released Shieldstral, a 3B open-weight multimodal safety classifier under Apache 2.0 that runs on one 16 GB NVIDIA GPU. It frames moderation as policy-adaptive question answering: policies written in natural language at inference time produce calibrated safety scores without retraining, handling text and images uniformly. Official claims say it matches models up to seven times larger on text safety and sets new best results on multimodal moderation benchmarks.
Google DeepMind released Gemini Robotics ER 2 as a high-level brain for robots, supporting video understanding, multi-step task orchestration and multi-robot collaboration, while delegating action execution to lower-level VLA models.
Google DeepMind released its next-generation music model Lyria 3.5 on Google Flow Music. It claims improvements in musicality, lyrics, vocals and creative control, including more complex and natural melodic structures, lyrics with better prompt adherence and structural awareness, more expressive vocals with clearer pronunciation, and easier control of rhythm and duration.