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the model has helped with tasks like large-scale codebase migrations. Google also shared a big chart showing many benchmarks where Gemini 4 fares better than competing models from OpenAI and Anthropic. (The AI community was buzzing earlier this week on X over what appeared to be leaked benchmarks for the new model.) Google will be strengthening “critical frontier safeguards” before a broader rollout, including defending against misuse and prompt injection attacks and monitoring for misalignment.

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ent reports, textbooks, and lectures, Embed 5 Pro averages 85.8 — an impressive 8.8 gain from Embed 4.2 That puts it ahead of Voyage 4 Large (83.7), Gemini Embedding 2 (83.2), and OpenAI text-embedding-3-large (75.5). Pro leads five of the eight domains outright and ties Voyage 4 Large on energy, with its largest gains over Embed 4 on HR (+11.4) and industrial (+10.3). Embed 5 Fast averages 84.5, ahead of both Gemini Embedding 2 and Voyage 4 Large. See the full results here. Finance Embed 5 Pro

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PLUS: Pick the right Claude model with one quick test Zach Mink Good morning, AI enthusiasts, and welcome to our 5,342 new readers. OpenAI takes the stage today for one of its most hyped days of the year. In typical industry fashion, its top rival wasn’t going to make things easy. Anthropic just launched Sonnet 5.5 on the heels of last week's big Opus release, bringing near-Opus scores at half the price. Tides turn fast in AI, but whatever OpenAI shows off today suddenly has a much higher bar to

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ry model is available on our API Platform and through our partners, including OpenRouter and Models.dev. Want to check it out? New users receive 10 million free tokens. Our API is OpenAI API compatible, so it only takes seconds to integrate. Mercury’s pricing is unchanged: $0.25 per 1M input tokens and $1.00 per 1M output tokens. Is that a good value? We think so! For example, Mercury provides higher quality than Claude 4.5 Haiku at one-fifth the latency and less than one-quarter the price. What

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.5 on some coding tasks, including various viral 3D animation tricks . The most interesting thing about Sonnet 5.5 is that it's now the model used for the free tier on claude.ai . OpenAI's ChatGPT free tier uses Luna 5.6, which means Anthropic currently have a much more capable free offering. I ran this prompt against that free tier: build me an HTML page that renders a three-dimensional pelican riding a bicycle using WebGL And got back this page , which is a solid effort. Anthropic's announceme

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time from request to audible speech. Measured September 2026 with identical scripts and default settings against Cartesia Sonic 3.6, xAI TTS, Google Gemini 3.8 Flash-Lite TTS, and OpenAI GPT-4o mini TTS; network latency measured and removed for all systems. Eleven v4 Turbo over WebSocket streaming Mati is the cofounder of ElevenLabs, where he leads teams building AI that can communicate at human level. Before ElevenLabs, Mati worked at Palantir where he embedded with enterprises and governments

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announced Claude Haiku 5.5 for the coming weeks. That model will focus on high-throughput, low-cost use cases. With Fable, Opus, and Sonnet, Anthropic already has counterparts to OpenAI's GPT-6 Astra, Sol, and Luna , which kicked off the latest pricing battle. Roughly speaking, Opus sits a bit above Sol, Sonnet above Luna, and Fable above Astra, though Anthropic charges more across the board. Performance differences between matched tiers are small enough that cost may end up being the deciding

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, cost from the tokens of our run at Alibaba Cloud list prices. Qwen3.6 35B-A3B: single run in our harness, at Alibaba Cloud list prices with cache hits at 20% of the input price. OpenAI launch data supplies the GPT and Opus effort sweeps; other closed and open-weight points use the official OSWorld 2.0 leaderboard . Releases, harnesses and task subsets differ. The line connects non-dominated score and cost pairs among the closed models; Holo4 is excluded. AutomationBench. Holo4, Qwen3.8 27B and

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e company also plans to release a new version of Haiku — its smallest model — in the coming weeks, although it didn’t give a firm date as to when that would happen. The last year has seen a flurry of new model releases from the major AI labs. Just last week, OpenAI released a number of new models — including enhanced versions of Sol and Luna, its mid-tier and budget-friendly models. Meta also announced a new model , which it said would power an upcoming feature associated with its smart glasses.

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and more. This is reinforced by a Bloomberg-sourced note via @Polymarket that startups are increasingly building custom models on open weights to cut cost and reduce dependence on OpenAI/Anthropic. The subtext across several tweets: open-weight capability is no longer confined to midsized models; multiple teams are shipping frontier-scale MoEs with credible cost-performance stories. Xiaomi MiMo-V2.6 and RL as the New Scaling Lever MiMo-V2.6 is the biggest open-model release in the set : @XiaomiM

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= os . environ . get ( "DASHSCOPE API KEY" ) if not api key : raise ValueError ( "DASHSCOPE API KEY is required. " "Set it via: export DASHSCOPE API KEY='your-api-key'" ) client = OpenAI ( api key = api key , base url = os . environ . get ( "DASHSCOPE BASE URL" , "https://dashscope-intl.aliyuncs.com/compatible-mode/v1" , ), ) messages = [ { "role" : "user" , "content" : [ { "type" : "image url" , "image url" : { "url" : "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/2024102

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TypeSafe AIは9月15日、ソフトウェア内の判断処理に特化したAIモデル「Jev」の早期アクセス提供を発表した。Jevを使うと、文章やコードではなく、あらかじめ定めた選択肢や評価尺度に沿った判断結果が返ってくる。同社は、ウェイトリストに登録した開発者に順次利用を案内している。 同社を率いるDiogo Almeida氏は、OpenAIでChatGPTの基礎となる研究に携わり、約2年間の非公開開発を経てJevを発表した。Jevは、同社が「System One Models」と呼ぶモデル群の最初の公開モデルに当たる。 After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing

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e exists. Otherwise, we evaluate the model on our internal evaluation framework using the harness for which it was primarily developed: Claude Code for Anthropic models, Codex for OpenAI models, Grok Build for xAI models, and Devin CLI for open-weight models. For each model, we report the best score across reasoning-effort settings. In this appendix, we prove the claim from the main text: if the RL objective only depends on average cost and solve rate, the reward must be affine in cost and succe

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In today’s AI rundown: Meta, Google join the September AI launch party Nate's Notebook: Tech literacy = your AI ceiling Nail job interviews with the “Proof Project” method Report: OpenAI’s loops hit AI safety monitoring LATEST DEVELOPMENTS Image source: Meta/ Google The Rundown: Meta and Google both just shipped new models, with Mark Zuckerberg pitching Meta’s Muse Spark 1.3 as “frontier performance almost too cheap to meter,” and Google’s Gemini 3.8 Flash showing a stronger bounce-back from its

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it comes to models from the two AI leaders. The calendar turning to September appears to have flipped a switch. Anthropic kicked off the next wave of launches with Fable 5.1, and OpenAI's Astra isn't far behind — meaning the summer of caution is about to get its first stress test. Reminder: Our next live workshop is today at 1 PM EST. Join and learn how to leverage AI as a manager to get more value out of your 1:1 meetings with employees and improve your team’s performance. RSVP here . In today

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ount ends. Image source: TIME The Rundown: Sam Altman just put a date on artificial general intelligence (when an AI can match or exceed humans in nearly every task) in a sweeping OpenAI TIME profile, saying a model meeting his personal bar for the term will exist internally by year-end. The details: Research chief Mark Chen put the lab at “80% of the way” to AGI, and Greg Brockman guessed people will look back on this stretch as AGI's arrival. Chief scientist Jakub Pachocki says its Astra model

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sage Qwen3.8-Flash-Next is available via API: QwenCloud On QwenCloud , the model is served under the name qwen3.8-flash . QwenCloud supports industry-standard protocols, including OpenAI-compatible Chat Completions and Responses APIs, alongside an Anthropic-compatible interface. """ Environment variables: DASHSCOPE API KEY: Your API Key from https://home.qwencloud.com/ DASHSCOPE BASE URL: (optional) Base URL for compatible-mode API. - Beijing: https://dashscope.aliyuncs.com/compatible-mode/v1 -

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ure than technical (yes, the technical details definitely matter, but are harder to differentiate from lab to lab): The time to release for Z.ai is likely days, not months as with OpenAI or Anthropic. It is very, very likely that OpenAI and Anthropic have far better internal models than Z.ai and Moonshot AI. Still, these American companies tend to take months to release their models to the public , which massively flatters the Chinese labs in adoption decisions at the frontier. To put it simply

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nd click Create Endpoint . Once its status is Running , you can test it in the Playground and copy the endpoint URL and model name from the Overview. The deployed model exposes an OpenAI-compatible Chat Completions API. Keep your Hugging Face token in an environment variable, set HF ENDPOINT URL to the URL shown in the Overview without /v1 , and set HF ENDPOINT MODEL to the endpoint's model name. See the Inference Endpoints documentation for configuration, autoscaling, security, logs, and monito

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alls tools, and works through a real task entirely on-device, without any cloud API calls. Setting up your own local agent takes only two steps. First, serve LFM2.5-2.6B behind an OpenAI-compatible endpoint, then point your agent harness at it. It works out of the box with popular harnesses like Hermes Agent, OpenClaw, and Pi. Check out our guide for how to serve the model locally and connect it with the agent harness of your choice. Start building today with LFM2.5-2.6B and LFM2.5-2.6B-Base, av

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