Updated
Updated
AIAnthropic released Claude Haiku 5.5, a small model priced at about a quarter of Haiku 4.5's running cost. Anthropic also halved Sonnet 5.5 cache read prices from 20 cents to 10 cents per million tokens.
AIOpenAI halved its cached-input price compared with GPT-6 Sol. Our measurements show it also handles long prompts faster.
AIMistral has released Mistral Large 4, nicknamed Le Chonk, a 1 trillion-parameter model it says can be used and customized by anyone. It is in preview, with a final version due by the end of the month, and is optimized for coding and cyberdefense as well as manufacturing, finance, and electrical engineering tasks. Mistral claims it is the most capable open-weight model developed outside China and says it was trained from scratch rather than through distillation.
AIMistral has released Mistral Large 4 in Research Public Preview, with open weights for the 1T parameter (49B active) model planned for the end of October. It scores 38 on the Artificial Analysis Intelligence Index, comparable to GPT-6 Luna (max, 38) and DeepSeek V4.1 Flash (max, 39), and 50 on the Cyber Index. The source calls it the most intelligent model from outside the US and China, and notes costs of $1.13 per Intelligence Index task at standard pricing.
AIReflection AI previewed Beam, an MoE open model with 501B total and 23B active parameters, claiming 3–4x better inference efficiency than GLM 5.2. The model was pretrained from scratch on 23.8T tokens in four weeks, and its RL run used 10,500 GB300 GPUs over four weeks, which the post describes as possibly the largest publicly recorded. Reflection positions Beam as a workhorse open model for enterprises, governments, and developers, with full weights due this month.
AI…based on Nemotron-3-Ultra.
AIIt is currently the best vision-enabled decision model on the market. > 85% to 97% accuracy across four VisA inspection tasks > circuit boards, candles, cashews, and chewing gum > understands the task from a short description, without task-specific training 2/4
AIAleph Alpha has released Kolibri, a model with 78B total parameters, 3.46B active, and up to 1M tokens of context, under Apache 2.0. The quoted post says the weights can be run on the user's own hardware. Cohere's own post is a short endorsement of the release.
AI…following creative briefs more accurately. Excited to see MiniMax H3 serve as the foundation for more frontier models tailored to specific industries! ✨
AIFeedback from AQ and (Good Doctor Online) scenarios informed training. Ling-3.1-flash scores 65.35 on HealthBench Professional—an evaluation result, not clinical certification.
AIAvailable now on our launch partners: @superscale_ai @Picsart @cfabricacom @luminal_ai @arena @runware @florafaunaai @krea_ai @trymoda @LeonardoAi @runwayml @pika_labs @fal @ComfyUI @magnific @GammaApp @LumaLabsAI @DesignArena
AIGPT Image 2.5 Sunburst, Nano Banana Pro, and Nano Banana 2. GPT Image and Nano Banana outputs become unusable within a few edits, while Ideogram 4.5 stays clean edit after edit.
AIKorean AI lab Upstage has released Solar Mini 4, a proprietary reasoning model that scores 24 on the Artificial Analysis Intelligence Index with 35B total and 3B active parameters. It is priced at $0.10/$0.40 per 1M input/output tokens and has a 1M-token context window, but averages 7.1 minutes per task due to heavy output token use. Its weights are not released, and its size cannot be independently verified.
AIAnthropic has released Claude Sonnet 5.5, the second model in the Claude 5.5 family. The company says it is more than 30% faster than Sonnet 5 and costs up to 30% less for most work.
Why it matters: The post gives concrete speed and price changes against Sonnet 5, which helps readers judge whether the upgrade fits their workloads and budgets.
AIMustafa Suleyman says Microsoft launched eight new models in two months, with five debuting at #1 on their respective leaderboards. MAI-Transcribe-2 is described as the fastest, most accurate, and cheapest transcription model, while MAI-Image 2.5, 2.6, and 2.6 Flash debuted at #1 on the Artificial Analysis leaderboard. MAI-Code-1.1-Flash, launched in GitHub Copilot four weeks ago, now accounts for a third of small-model traffic there.
AIIt's also 72% more efficient in GPU usage, so we can provide it at an incredible price. This gives it the best price-performance score in the world. Unbelievable work from the team. So much more to come! Try MAI-Image-2.6-Flash out now!
AIGive it a target and it works until it gets there, and when it's stuck it says so instead of reporting success. It’s the same price as Fable 5 ($10/$50), and we've cut the price of cache reads 75% to $0.25/MTok on the API.
AIHarvey and Fireworks post-trained Tenet from the Kimi K3 base using asynchronous reinforcement learning on the Fireworks Training API for long-horizon legal work. On the Legal Agent Benchmark, Tenet reached 19.7% all-pass versus 10.8% for base Kimi K3, and its cost per task was $5.92 versus $5.62.
AILiquid AI has released LFM2.5-2.6B, a model optimized to run agentic workflows entirely on-device without cloud escalation. The company said it is designed for high-volume agentic tasks and chained workflows while staying on-device. Separately, Liquid AI and MacPaw announced a long-term partnership to co-develop local AI technology for Mac, with LFMs running on Apple silicon through MacPaw's Elix inference engine.
AIGrok 4.6 is released as a significant improvement over Grok 4.5 at the same price, according to the announcement. The author says it is significantly better at difficult tasks and knowledge work, combining Opus-class intelligence and polish with low cost and high speed. A comparison table shows Grok 4.6 High scoring 61 on the AA Intelligence Index, versus 56 for Grok 4.5 High, and 1753 on GDPval-AA v2, versus 1526.
AIOpenAI cut API prices for two GPT-5.6 models, with Luna down 80% to $0.20 per million input tokens and $1.20 per million output tokens. Terra drops 20% to $2 input and $12 output per million tokens. GPT-5.6 Sol gains a Fast mode in the API that offers up to 2.5x the speed for 2x the price at the same intelligence level.
AI…preference) vs. cost and preference vs. speed. In plain terms: any model rated higher costs more or runs slower.
AIIt’s an enormous improvement over composer 2.5 and trained entirely from scratch. It’s been a pleasure working with the SpaceXAI team on it. Even more excited by the slope of the effort and the models to come.
AICursor co-founder Michael Truell announced Grok 4.5, a model trained with SpaceXAI that the post calls Opus-class, fast, and low cost. He says it is a significant step up over Composer 2.5 and has become the daily driver for many on the Cursor team. A benchmark table shows Grok 4.5 at 83.3% on Terminal-Bench 2.1 and 78.0% on SWE-Bench Multilingual, with the post saying more releases will follow.
AIThis is the very start of our work with SpaceXAI. Hope to have more improvements out soon.
AIARC-AGI-2 at 45.1% is 🔥