Lanzamientos de modelos de IA
Nuevos modelos de 26 laboratorios de IA, directamente de sus anuncios oficiales, blogs y repositorios de pesos abiertos. Actualizado cada 30 minutos · última revisión 2026-10-01 20:00 UTC.
761 lanzamientos · página 15 / 16
| Empresa | Modelo | Fecha de lanzamiento (UTC) |
|---|---|---|
| Kuaishou (Kling / Kolors) | Kolors-IP-Adapter-Plus Kwai-Kolors/Kolors-IP-Adapter-PlusText-to-image model released as open weights by Kuaishou (Kling / Kolors) on Hugging Face (library: diffusers, license: apache-2.0). | |
| Meta | Llama-3.1-70B meta-llama/Llama-3.1-70BText generation model released as open weights by Meta on Hugging Face (library: transformers, license: llama3.1). | |
| Meta | Llama-3.1-8B meta-llama/Llama-3.1-8BText generation model released as open weights by Meta on Hugging Face (library: transformers, license: llama3.1). | |
| Alibaba Qwen | Qwen2 Hello Qwen2GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction After months of efforts, we are pleased to announce the evolution from Qwen1.5 to Qwen2. This time, we bring to you: Pretrained and instruction-tuned models of 5 sizes, including Qwen2-0.5B, Qwen2-1.5B, Qwen2-7B… | |
| Alibaba Qwen | Qwen-Agent Generalizing an LLM from 8k to 1M Context using Qwen-AgentWe’ve created an agent using Qwen2 models with an 8k context size to understand documents with 1M tokens, surpassing RAG and native long-context models. This agent was also used to generate data for training new long-context Qwen models. | |
| Kuaishou (Kling / Kolors) | Kolors Kwai-Kolors/KolorsText-to-image model released as open weights by Kuaishou (Kling / Kolors) on Hugging Face (library: diffusers, license: apache-2.0). | |
| Mistral AI | Codestral Codestral | |
| Cohere | Aya-23-35B CohereLabs/aya-23-35BText generation model released as open weights by Cohere on Hugging Face (library: transformers, license: cc-by-nc-4.0). | |
| Cohere | Aya-23-8B CohereLabs/aya-23-8BText generation model released as open weights by Cohere on Hugging Face (library: transformers, license: cc-by-nc-4.0). | |
| Alibaba Qwen | Qwen-Max-0428 Notes on Qwen-Max-0428API DEMO DISCORD Previously, we opensourced a series of Qwen1.5 model ranging from 0.5 to 110 billion parameters. Now, we release a larger model, Qwen-Max-0428. Qwen-Max-0428 is an instruction-tuned model for chat service. Very recently, it is available via Chatbot Arena and it… | |
| Alibaba Qwen | Qwen1.5-110B Qwen1.5-110B: The First 100B+ Model of the Qwen1.5 SeriesGITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction Recently we have witnessed a burst of large-scale models with over 100 billion parameters in the opensource community. These models have demonstrated remarkable performance in both benchmark evaluation and chatbot arena… | |
| OpenAI | Whisper Introducing ChatGPT and Whisper APIs | |
| AI21 Labs | Jamba-tiny-random ai21labs/Jamba-tiny-randomText generation model released as open weights by AI21 Labs on Hugging Face (library: transformers, license: apache-2.0). | |
| xAI | Grok-1.5 Vision Grok-1.5 Vision PreviewConnecting the digital and physical worlds with our first multimodal model. | |
| Alibaba Qwen | Qwen1.5-32B Qwen1.5-32B: Fitting the Capstone of the Qwen1.5 Language Model SeriesGITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction The open-source community has long sought a model that strikes an ideal balance between performance, efficiency, and memory footprint. Despite the emergence of cutting-edge models like Qwen1.5-72B and DBRX, the models… | |
| AI21 Labs | Jamba-v0.1 ai21labs/Jamba-v0.1Text generation model released as open weights by AI21 Labs on Hugging Face (library: transformers, license: apache-2.0). | |
| Alibaba Qwen | Qwen1.5-MoE Qwen1.5-MoE: Matching 7B Model Performance with 1/3 Activated ParametersGITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction Since the surge in interest sparked by Mixtral, research on mixture-of-expert (MoE) models has gained significant momentum. Both researchers and practitioners are keenly interested in understanding how to effectively… | |
| xAI | Grok-1.5 Announcing Grok-1.5Grok-1.5 comes with improved reasoning capabilities and a context length of 128,000 tokens. Available on 𝕏 soon. | |
| xAI | Grok-1 xai-org/grok-1Text generation model released as open weights by xAI on Hugging Face (library: grok, license: apache-2.0). | |
| xAI | Grok-1 Open Release of Grok-1We are releasing the weights and architecture of our 314 billion parameter Mixture-of-Experts model Grok-1. | |
| Alibaba Qwen | Qwen1.5 Introducing Qwen1.5GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction In recent months, our focus has been on developing a “good” model while optimizing the developer experience. As we progress towards Qwen1.5, the next iteration in our Qwen series, this update arrives just… | |
| Alibaba Qwen | Qwen-VL Introducing Qwen-VLAlong with the rapid development of our large language model Qwen, we leveraged Qwen’s capabilities and unified multimodal pretraining to address the limitations of multimodal models in generalization, and we opensourced multimodal model Qwen-VL in Sep. 2023. Recently, the… | |
| Alibaba Qwen | Qwen Introducing Qwen4 months after our first release of Qwen-7B, which is the starting point of our opensource journey of large language models (LLM), we now provide an introduction to the Qwen series to give you a whole picture of our work as well as our objectives. Below are important links to… | |
| OpenAI | consistency-decoder openai/consistency-decoderModel released as open weights by OpenAI on Hugging Face (library: diffusers, license: mit). | |
| OpenAI | whisper-large-v3 openai/whisper-large-v3Speech recognition model released as open weights by OpenAI on Hugging Face (library: transformers, license: apache-2.0). | |
| OpenAI | DALL·E 3 DALL·E 3 is now available in ChatGPT Plus and EnterpriseWe developed a safety mitigation stack to ready DALL·E 3 for wider release and are sharing updates on our provenance research. | |
| OpenAI | DALL·E 3 DALL·E 3 system card | |
| OpenAI | shap-e-img2img openai/shap-e-img2imgImage editing model released as open weights by OpenAI on Hugging Face (library: diffusers, license: mit). | |
| OpenAI | shap-e openai/shap-etext to 3d model released as open weights by OpenAI on Hugging Face (library: diffusers, license: mit). | |
| OpenAI | GPT-4 GPT-4We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level… | |
| OpenAI | GPT-4 GPT-4It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style. | |
| OpenAI | whisper-large-v2 openai/whisper-large-v2Speech recognition model released as open weights by OpenAI on Hugging Face (library: transformers, license: apache-2.0). | |
| OpenAI | DALL·E DALL·E API now available in public betaStarting today, developers can begin building apps with the DALL·E API. | |
| OpenAI | DALL·E DALL·E now available without waitlistNew users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible. | |
| OpenAI | whisper-medium.en openai/whisper-medium.enSpeech recognition model released as open weights by OpenAI on Hugging Face (library: transformers, license: apache-2.0). | |
| OpenAI | whisper-small.en openai/whisper-small.enSpeech recognition model released as open weights by OpenAI on Hugging Face (library: transformers, license: apache-2.0). | |
| OpenAI | whisper-base.en openai/whisper-base.enSpeech recognition model released as open weights by OpenAI on Hugging Face (library: transformers, license: apache-2.0). | |
| OpenAI | whisper-tiny.en openai/whisper-tiny.enSpeech recognition model released as open weights by OpenAI on Hugging Face (library: transformers, license: apache-2.0). | |
| OpenAI | whisper-large openai/whisper-largeSpeech recognition model released as open weights by OpenAI on Hugging Face (library: transformers, license: apache-2.0). | |
| OpenAI | whisper-medium openai/whisper-mediumSpeech recognition model released as open weights by OpenAI on Hugging Face (library: transformers, license: apache-2.0). | |
| OpenAI | whisper-small openai/whisper-smallSpeech recognition model released as open weights by OpenAI on Hugging Face (library: transformers, license: apache-2.0). | |
| OpenAI | whisper-base openai/whisper-baseSpeech recognition model released as open weights by OpenAI on Hugging Face (library: transformers, license: apache-2.0). | |
| OpenAI | whisper-tiny openai/whisper-tinySpeech recognition model released as open weights by OpenAI on Hugging Face (library: transformers, license: apache-2.0). | |
| OpenAI | Whisper Introducing WhisperWe’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition. | |
| OpenAI | DALL·E DALL·E: Introducing outpaintingExtend creativity and tell a bigger story with DALL·E images of any size. | |
| OpenAI | jukebox-1b-lyrics openai/jukebox-1b-lyricsEmbedding model released as open weights by OpenAI on Hugging Face (library: transformers). | |
| OpenAI | jukebox-5b-lyrics openai/jukebox-5b-lyricsEmbedding model released as open weights by OpenAI on Hugging Face (library: transformers). | |
| OpenAI | DALL·E DALL·E now available in betaWe’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy additional credits in 115-generation increments for $15. | |
| OpenAI | DALL·E 2 DALL·E 2: Extending creativityAs part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows. The artists in our early access group have helped us discover new uses for DALL·E and have served as key voices as we’ve made… | |
| OpenAI | DALL·E 2 DALL·E 2 research preview updateEarly users have created over 3 million images to date and helped us improve our safety processes. We’re excited to begin adding up to 1,000 new users from our waitlist each week. |