#Model release

AIMeituan's LongCat-2.0 is now available free in Command Code, the AI coding tool. The model has 1.6T parameters, 48B activated, and a 1M-token context window. It is available on all Command Code plans to all subscribers.

AIGoogle introduces Gemini 3.8 Flash for coding, agentic tasks, and multi-step reasoning, priced at $0.75 per million input tokens and $3.75 per million output tokens during the introductory period. Gemini 3.8 Flash Cyber targets vulnerability detection and automated patching and is available only to trusted defenders through the new Fairwind Program. The introductory price expires December 31, 2026, after which $1.50 and $7.50 per million tokens apply.

Why it matters: The post separates a general coding and agent model from a restricted cyber variant, showing how one shared core is deployed under different access and safety tiers.

AIGoogle's RT-2 model, announced in July 2023, trained a multimodal LLM to output robot actions directly, and the article argues this approach launched the current robotics boom. The author follows later work from Physical Intelligence, including action chunking with flow matching, reinforcement learning on real robots, and visual subgoal generation, and notes that the field is debating whether vision-language-action models will give way to world models.

AIGoogle says 3.8 Flash Cyber produced 2.6x more correct patches than larger models in evaluations on real Chrome security bugs. Because of these capabilities, Google is giving Government agencies and cybersecurity partners access through the Fairwind program.

AIGoogle's Logan Kilpatrick says Gemini 3.8 Flash costs the same as Gemini 3.7 and runs at roughly the same speed. The model is available through the Gemini API, AI Studio, Antigravity, the Gemini App, and other surfaces.

AICohere Labs released Tiny Aya En-Thinker, an open-weights 3.35 billion parameter multilingual reasoning model with a 32K context length. It is trained on English reasoning traces for 44 languages plus English, with coverage extending to 20+ more languages through non-reasoning instruction data. The model is available under a CC-BY-NC license that also requires adherence to Cohere Labs' Acceptable Use Policy.

AICohere Labs released Tiny Aya L2-Thinker, an open-weights 3.35 billion parameter multilingual reasoning model that thinks in the same language as the user's prompt before answering. The model supports in-language reasoning for 44 languages plus English, with coverage extended to 20+ more languages through additional non-reasoning instruction data, and has a 32K context length. It is licensed under CC-BY-NC and is available on Hugging Face.

AIGoogle has released gemini-3.8-flash, described as its most intelligent Flash model, for long-horizon software engineering, autonomous agents, and complex enterprise workflows. The Gemini 3.8 Flash model page and the Latest model guide are linked for getting started.

AIAnthropic has released Claude Fable 5.1, the latest upgrade to its most capable class of models, and it is available everywhere today. The company says it handles complex, long-running, multi-step work and avoids shortcuts when fixing root causes of software issues. At lower effort levels, Fable 5.1 can match or beat Fable 5 at a much lower cost, according to Anthropic's benchmarks.

Why it matters: The source names the upgraded model class and its cost tradeoff at lower effort levels, which helps readers weigh it against the earlier version for their own workloads.

AIThe model keeps working until it reaches a given target and says so when it is stuck, rather than reporting false success. It is priced at $10/$50, the same as Fable 5, and cache reads on the API are cut 75% to $0.25/MTok.

AIMike Krieger announced that Claude Fable 5.1 launched this morning and is built for complex, multi-step work that runs on its own. He says it sets a new standard across coding, knowledge work, and long-running problem-solving tasks. The quoted @claudeai post also introduces Claude Mythos 5.1 alongside it.

AIAlex Albert describes Claude Fable 5.1 as a model that fills in gaps from vague, messy instructions the way he would. He calls it impressive in many ways and encourages people to try it. The quoted post from @claudeai announces Claude Fable 5.1 and Claude Mythos 5.1 as the world's most advanced models for coding and knowledge work.

AIAnthropic has released Claude Fable 5.1, an upgrade to its most capable model class, and says it is available everywhere today. The company reports that at lower effort levels, Fable 5.1 can match or beat Fable 5 at a much lower cost. It is described as strong at complex multi-step work, such as long proofs and contracts with hundreds of cross-references, and at fixing root causes in software issues.

Why it matters: The source reports cost and effort-level tradeoffs for long-running tasks, helping readers judge whether the upgrade changes their workloads or budgets.

AIAi2 has published supplemental checkpoints for its ACE2S-SHiELD+ climate model on Hugging Face, covering four ablation configurations that test random CO2 data and energy conservation. Each configuration includes two random-seed models, and the repository recommends the main ACE2S-SHiELD+ checkpoint for most uses. The checkpoints are licensed under Apache 2.0 for research and educational use.

AIWorld Labs has introduced Atlas, a multimodal world model it describes as trained from scratch. The post says Atlas generates frames with pixel-perfect camera control, reconstructs large scenes from as few as one input image, and outputs 3D spaces from one or more images. The author cites use cases including VFX and robotics.

AIWorld Labs announces Atlas, a scalable foundation model that can perceive, generate, reason, and interact with virtual and physical worlds. The company says early access opens in the coming weeks, with sign-up details on its blog.

AIWorld Labs says it pre-trained Atlas from scratch to accept multimodal inputs, including camera movement, and convert them into 3D-grounded views. The company says Atlas lets users direct views, reconstruct real spaces from their inputs, and build explorable worlds.

AIGoogle has released GNM v3.0, a parametric 3D statistical model of the human head, with weights published on Hugging Face and Kaggle under the Apache 2.0 license. The model gives controllable identity, expression, head pose, and internal anatomy including eyeballs, teeth, and tongue, and supports NumPy, JAX, PyTorch, and TensorFlow backends.

AIOpenBMB released MiniCPM5-2B-Midtrain, a BF16 mid-training checkpoint taken before SFT in the MiniCPM5-2B series, on Hugging Face and ModelScope. The series is a 2B dense Transformer with 2,516,756,480 total parameters and a 131,072-token context length, and the final MiniCPM5-2B reports an average score of 53.9 against 51.1 for the best larger comparison model. The release also includes GGUF, MLX, and GPTQ variants, along with the UltraData datasets.

AIShanghai AI Lab's InternLM has published Intern Lumina U2, a 16B-parameter MoE model with 1B active parameters that handles text QA, image generation and editing, and image, video, and 3D understanding. The model uses an 8-codebook fully-discrete visual representation built on AToken. Checkpoints are provided for Huawei Ascend NPUs and NVIDIA GPUs under Apache 2.0, with the technical report still listed as coming soon.

Why it matters: The model unifies text, image, video, and 3D understanding with image generation in one framework, a broader scope than single-modality releases.

AIAnthropic has launched Claude Fable 5.1 and Claude Mythos 5.1, which it describes as the world's most advanced models for coding and knowledge work. The release notes link to a blog post with more details, but the notes themselves give no benchmarks or specifications.

Why it matters: The source names two new model versions and points to a companion blog post, so readers can compare the release details there.

AIMicrosoft Research released GigaPath-Flash and GigaTIME-Flash, efficient pathology foundation models built on a distilled ViT-S backbone and released under the Apache 2.0 license. GigaPath-Flash, with 22M-parameter tile and 21M-parameter slide encoders, reportedly scores within 3% of the original GigaPath on PANDA and EBRAINS benchmarks at roughly 50 times less compute. The models are research tools, not validated for clinical use.

AIDeepSeek introduces DeepSeek-V4-Flash-Vision-Exp, its first experimental multimodal model in the DeepSeek-V4 family, built on V4-Flash with visual modules. It reports substantial gains over DeepSeek-V4-Flash-0731 on multimodal agent benchmarks, such as ApexBench at 36.5 versus 26.2, while keeping text agent performance comparable. The repository provides tokenizer files, prompt encoding, vLLM and SGLang serving instructions, and is licensed under MIT.

Why it matters: The source compares the model with its text-only predecessor and Opus-4.8 on agent benchmarks, showing where vision gains occur and where text performance holds.

AIAlibaba NLP has released core-emb-8b, an MLLM-based multimodal embedding model that distills a reranker's compositional judgments to distinguish attribute-object bindings such as "a white plate and a black chair" versus "a black plate and a white chair." The 8B dense embedding model, built on the Qwen3-VL-based VL-Emb backbone, scores 0.666 total average on compositional benchmarks, 5.7 points above its backbone. It is part of a family that also includes 2B embedding and reranker models.

AIAlibaba-NLP has published Core-Reranker-8B on Hugging Face, an 8B-parameter multimodal reranker fine-tuned from Qwen3-VL-Reranker to better distinguish attribute-object bindings in text and image relevance scoring. On compositional reasoning benchmarks COLA, SugarCrepe++, and NegBench, it reports an 82.7% total average, 10.7 points above Jina-Reranker. The model is part of the Core-Embed family, which also includes 2B and 8B embedding models, with Core-Embed-8B reporting a 0.666 total average.