#Model release

AIBlack Forest Labs is discounting its FLUX 3 Image model by 50% through its API until October 8th. The company is also making FLUX 3 Image available under a commercial weights license, letting companies fine-tune it and deploy it on their own infrastructure.

AIBlack Forest Labs announces FLUX 3 Image, which supports multi-turn edits that leave other pixels unchanged, layout control via bounding boxes, generation up to 4K, and up to 10 reference images. Commercial weights are available for companies running image generation at scale, and an open weights version is launching in the coming weeks.

AIReplicate says it is powering Griffin from Tavus on its platform. Tavus describes Griffin as the first model to pass the video Turing test, with 48% of live conversation participants believing it was a real human. The model ranks first on NVIDIA's full-duplex AI video benchmark.

AILiquid AI's d1 model is now available through OpenRouter, as the post says demand for it has been very high. The post notes that users can now access it easily via the OpenRouter platform.

AIPerplexity has published the weights for pplx-decider-v1-27b, a model fine-tuned from Qwen3.8-27B with a 250k-token context window. The weights are available on Hugging Face, and the post points developers to the Perplexity Decisions API quickstart for getting started.

AIMicrosoft Copilot begins rolling out OpenAI's GPT-6.1 Sol and Anthropic's Claude Sonnet 5.5 today, joining Claude Opus 5.5 and GPT-6 Sol added earlier this month. Users can pick the model suited to each task, with Work IQ grounding responses in their files, meetings, and chats within existing permissions. The rollout starts today in Copilot Cowork and Copilot Studio, with Word, Excel, PowerPoint, and Chat following in phases over the coming week.

AICloudflare has open-sourced Clef and Clef-Flash, its first homegrown decision models, now available on Workers AI. Harrison Chase praised the release as an open-weights entrant and argued that agent harnesses should be able to swap their decision model as easily as their main model.

AIApodex has released Apodex 1.1 Mini, a free reasoning-first model designed for complex, long-horizon research and forecasting tasks. According to the source, it works directly with files, data, code, and tools to produce verifiable results.

AIMicrosoft AI's MAI models are now accessible to developers via Vercel, including the newest releases MAI-Transcribe-2-Streaming, MAI-Voice-2.1, and MAI-Voice-2.1-Flash. The partnership brings these models into Vercel's AI Gateway as another route for building Microsoft AI models into applications.

AICloudflare's Workers AI team has released Clef, its first models, two fast decision models that it says top benchmarks for quality and latency. They are available hosted on Workers AI or as open weights on Hugging Face.

AIVercel says it partnered with Microsoft AI to make MAI-Voice-2.1 and MAI-Transcribe-2-Streaming available through AI Gateway today. MAI-Voice-2.1 handles long-form and fast-reply speech, while MAI-Transcribe-2-Streaming provides transcription.

AIMicrosoft AI launched MAI-Transcribe-2-Streaming, which Artificial Analysis ranks #1 of 38 models for final transcript accuracy at 2.5% WER, returned 0.13s after end of speech. Artificial Analysis lists its streaming price at $0.54 per hour of audio, at the higher end among leading streaming models. Microsoft's post claims the model is 55% faster and 60% cheaper than ElevenLabs and invites developers to build agents on its platform.

AIMicrosoft AI announced three new models: MAI-Transcribe-2-Streaming, MAI-Voice-2.1, and MAI-Voice-2.1-Flash. The source says the streaming transcription model is accurate and aims for natural speech with less waiting between conversational turns for building voice agents.

AICloudflare released Clef and Clef-flash, two decision models hosted on Workers AI and open-sourced on Hugging Face under Apache 2.0, and launched a reinforcement learning fine-tuning service. In Cloudflare's tests, Clef classified a domain in 2.2s versus 4.7s for gpt-oss-120b, and the models are Jev-API compatible. The company is offering fine-tuning first through a forward-deployed engineering team, with a self-serve platform planned later.

AIGoogle says Gemini 4 Argon is rolling out at $2/$10 per million tokens, though the author has not yet been able to access the model to test it. OpenAI pulled GPT-6.1 Astra over alignment failures and released GPT-6.1 Sol, which it prices at the same $2/$10 and says shows substantial alignment improvements over GPT-6 Sol. The post also covers Anthropic's leaked IPO prospectus, which reportedly lists roughly $518 billion in compute commitments, and a court ruling upholding the Department of War's supply chain risk designation of Anthropic.

AIPareto 26.10 Preview is a multimodal composite model built for research, coding, and agentic workflows. It is described as delivering frontier-level performance across a broad range of general-purpose tasks, though the source excerpt is a preview and provides no benchmark scores, parameter counts, pricing, or availability details.

AIGoogle announced Gemini 4 Argon, a model it says is built to sustain deep reasoning across complex, long-horizon workflows, roughly seven months after its last flagship release in February. The article says cybersecurity testing will be completed after October 1, with no benchmark scores, pricing, or availability details provided.

AIGoogle has announced Gemini 4 Argon, initially available only to trusted cyber defenders through its Fairwind Program while US government approval is pending. The author says the model is aimed at long-running software engineering, enterprise knowledge work, and cybersecurity tasks, with a 1 million token output limit. The post also gives promotional pricing of $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 afterward, alongside a benchmark comparison.

Why it matters: The post places Gemini 4 Argon's benchmark table beside GPT-6 Astra and Claude models, showing where each leads across coding, knowledge work, and cybersecurity tasks.

AINathan Lambert says he is pleased to see Google surprise people with Gemini 4. He argues that more labs at the frontier benefit consumers through competition and reduce the concentration of power. He says he is eager to see how the model performs in real-world scenarios.

AIGoogle DeepMind introduced Gemini 4 Argon, a new frontier model built for coding, enterprise knowledge work, and cybersecurity defense, rolling out to trusted testers through its Fairwind Program. Yi Tay says Gemini 4 outperforms astra and fable on many tasks, though the post gives no benchmark figures.

AIRunway's Head of Robotics Andy Chen outlined the company's approach to robotics and premiered Praxis-1, an open-weight world action model. Early access requests are available via the Praxis-1 page on Runway's website.

AIAnt Ling's Ling 3.1 Flash is now available on Vercel AI Gateway, free through October 13. The model is built for coding and multi-step analysis.

AIA flu forecasting model built with Google AI ranked first among 39 eligible models in the CDC's FluSight 2025-26 season evaluation for predicting U.S. flu-related hospital admissions. The model was developed using Empirical Research Assistance (ERA), an AI tool that generates optimization algorithms, and ERA's underlying technology is now available to trusted testers.

AIThe post quotes Google's Sundar Pichai introducing Gemini 4 Argon as an early look at the next model. It claims frontier performance in complex workflows, cyber defense, and software engineering, and says Google teams are using it for tasks from coding to quantum computing. The author adds that on FrontierSWE the model is very self-critical and often says "Eureka!", a personality they describe as a large improvement over previous Gemini models.

AIGoogle is sharing Gemini 4 Argon first with trusted defenders in its Fairwind Program, with frontier capabilities in coding, knowledge work, and cyber security defense. The model is also being rolled out to the US government, and the company plans broader availability as testing progresses and safeguards allow.

AIGoogle announced Gemini 4 Argon, a new frontier model that delivers frontier performance across complex software tasks, according to Varun Mohan. Thousands of Googlers have been using it internally in Antigravity, and it is rolling out first to trusted cyber defenders in the Fairwind Program, with broader availability to follow as soon as possible.

AILogan Kilpatrick, Google's Gemini lead, praised the teams behind Gemini 4 Argon and said he looks forward to wider adoption. The post links to Google's blog announcement for the model, but it gives no benchmark scores, pricing, or capability details.

AIGoogle AI announced Gemini 4 Argon, a new frontier model built for deep reasoning across long, complex workflows in software engineering, legal and finance knowledge work, and cybersecurity defense. Google says it is expanding the model's output token limit to 1M tokens. Argon is rolling out first to trusted cyber defenders in the Fairwind Program, with broader availability to follow as soon as possible.

Why it matters: The benchmark table compares Gemini 4 Argon against GPT-6 Astra and Claude models across knowledge work, coding, and multimodal tasks, showing where it leads and trails.

AIGoogle DeepMind's Argon supports a 1M token output limit, enabling deeper reasoning on long, multi-step problems in a single pass. Early testers are providing feedback before a broader rollout to developers, enterprises, and consumers.

AIGoogle is rolling out its Argon model with frontier safeguards to the US government and a set of trusted cyber defenders through its Fairwind Program. Sundar Pichai says broader availability will follow as soon as it can be done safely.

AIGoogle DeepMind announced Gemini 4 Argon, rolling out first to trusted cyber defenders through its Fairwind Program. Argon will launch at an introductory price of $2 per million input tokens and $10 per million output tokens, with output limits raised to 1M tokens. The post cites a 77.9% score on DeepSWE v1.1 and 91.7% on LVBench, and says broad availability will follow safeguard testing.

Why it matters: The post pairs Argon's benchmark claims with the phased release, pricing, and safeguard details, helping readers weigh its frontier-level capabilities against its access limits.

AIGoogle announced Gemini 4 Argon, a new frontier model rolling out first to trusted cyber defenders through its Fairwind Program. The model's output limit rises to 1M tokens from 64K, and its introductory API price is $2 per million input tokens and $10 per million output tokens. Google says broader availability to developers, enterprises, and consumers will follow after more testing of guardrails.

Why it matters: The post pairs benchmark claims with a phased access plan, pricing, and safety measures, which helps readers judge how quickly Argon may reach developers.

AIReplicate now hosts Ideogram 4.5, an image model built for hyper-precise, multi-turn editing. It is aimed at editorial mockups, brand assets, and imagery without artifacts.

AIPerplexity has published the pplx-embed-v2-context-9b-preview model on Hugging Face. The post links to the model page but gives no further details on its capabilities, benchmarks, or pricing.

AIPerplexity's embedding preview achieves the highest average nDCG@10 among tested models on ConTEB, though not on every task. It also outperforms voyage-context-4 on chunk retrieval while using 8x less storage per vector, at 1 KB (1024 dims, int8) versus 8 KB (2048 dims, float32).

AIPerplexity says its pplx-embed-v2-context-9b-preview model leads on Answer and Evidence retrieval at every cutoff. In document retrieval the gap is smaller, with its context v1 4B model slightly ahead at Document@3 and Document@5.

AIPerplexity introduced a new training method for contextual embedding models that encode each document chunk with the whole document in view. Its pplx-embed-v2-context-9b-preview sets a new state of the art on the ConTEB benchmark and on turbopuffer's privately held context-bench.

AIHeyGen has released HeyGen Video, a production-quality video product built on MiniMax H3 and post-trained by HeyGen. Pricing starts at $0.01 per second through October, a 50% discount, aimed at businesses that need video without production-level costs.

AIFireworks AI has made GLM 5.3 Flash available for training through its Serverless Training API, open to all users. The model supports both vision and text inputs. Fireworks says it performs well on its benchmarks for agentic coding, document analysis, and tool use while remaining cost-efficient to serve.

AICreatify Labs released Boreal-H3, a video model built on MiniMax H3 and post-trained specifically for advertising. Reported results include 85.3% reference fidelity, brief success rising from 28% to 50%, and identity match improving from 83% to 94%. Visible defects per clip dropped 70%, while generation time and estimated cost fell 20%.