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Found 13 items · updated 01:10
Nov 12Thu
  1. QbitAI82

    MiniMax open-source image model H3-Image: Native 4K, supports 16 reference images

    MiniMax's open-source image model H3-Image supports native 4K (4096×4096 pixels) generation and can take up to 16 reference images. The author tested that it can deduce orthogonal three-view drawings and mechanical exploded views based on product appearance images, and reduce the plasticity on details such as pores and freckles on human faces. The API price is 50% to 70% lower than that of mainstream competitors, with a 50% discount on the first week's 16MP requests.

    Same story · 2 outlets
Nov 11Wed
  1. MiniMax News80

    MiniMax releases open-source image generation model H3-Image

    MiniMax has released an open-source weight image generation model based on H3, H3-Image, which supports text-to-image, reference image generation, and image editing, capable of generating 4096 × 4096 4K images within 10 seconds, and supports up to 16 reference images.

    Same story · 2 outlets

    Why it matters: The official provides 4K generation speed, reference image quantity, and pricing range, which can be used to judge the gap between open-source image models and closed-source solutions.

Nov 8Sun
  1. MiniMax · Hugging Face new models

    MiniMax-H3-Image-PE provides hint extension functionality

    MiniMax-H3-Image-PE uses prompt expansion (PE) to convert short requests into detailed image descriptions and recommends aspect ratios. It supports two workflows: text-to-image (T2I) and image editing, using fine-tuned FP4 weights from Qwen3.8-27B. The online API can be accessed via platform.minimax.io or platform.minimax.cn, and the documentation provides support in both Chinese and English.

Nov 3Tue
Jul 31Fri
Jul 28Tue
  1. MiniMax · Hugging Face new models

    MiniMax-H3 released: A general multimodal generation system.

    MiniMax-H3 is a general multimodal generation system that supports unified understanding of text, images, video, and audio, capable of generating video with up to 2K resolution and up to 15 seconds of stereoscopic audio. Its H3-Context-IR module is used for deep understanding of input commands and converting them into an intermediate representation understandable by H3-Base, but it is not open source. The H3-Base and H3-Regenerate-2K modules are responsible for audio and video generation at 768p and 2K resolutions, respectively; the former is open source, while the latter requires API calls.

Nov 14Sat
  1. MarkTechPost

    Best AI video generation models in 2026: Elo ranking, per-second price, and open-source weight analysis

    The Elo ranking shows Alibaba Wan 3.0 (1175 T2V Elo) at the top with a price of $0.20 per second; Utopai X (1170 T2V Elo) is second but has no API; MiniMax H3 (1161 T2V Elo) is the first open-source video model with a price of $0.08 per second, but it is regionally restricted. The ranking is based on blind human preference tests, combined with the price per second of the API and the status of weighted licenses.

Nov 13Fri
  1. Ant Group inclusionAI · Hugging Face new models

    inclusionAI/Duo-1.0-causal-base released: A multimodal world model for full-duplex interaction

    inclusionAI releases Duo 1.0 causal-base model, a full-duplex multimodal world model for real-time audio-video interaction, including implementation weights and backbones, intent models and adapters, audio-video encoders, speech recognizers, and forced aligners. The model weights are based on MiniMax H3 initialization and are open-sourced.

  2. QbitAI

    Unbounded Frontiers opensources Fx-Bio-1031, life science RSI model surpassing GPT-6-Astra and Opus-5

    The boundaryless front-end open-source biological information large model Fx-Bio-1031 achieved 70.59% Pass@5 on the BioMysteryBench benchmark test, significantly outperforming GPT-6-Astra (47.06%) and Claude Opus-5 (52.94%). Fx-Bio-1031 adopts an efficient MoE architecture with 125B parameters and supports localized deployment, suitable for drug development, multi-omics analysis, and other scenarios.

Nov 6Fri
  1. MarkTechPost71

    Thinking Machines has released the Inkling 2 Small: a MoE model with 594B total parameters and 17B activations.

    Thinking Machines Lab released the first model of the second-generation Inkling, Inkling 2 Small, a sparse MoE with 594B total parameters and 17B activation parameters, supporting text and image input and variable inference strength, with a context of 1M tokens.

    Same story · 3 outlets