MiniMax-M3 is a cutting-edge multimodal model developed by MiniMax, featuring a self-developed MSA sparse attention architecture that supports ultra-long context windows of up to 1M tokens. The model natively integrates text, image, and video input capabilities, achieving international leadership in professional tasks such as Coding and Agent.

DeepSeek-V4 Flash 0731 is an efficient MoE model for agentic, coding, and long-context workloads, supporting a 1M-token context window and the Responses API. With 284B total parameters and 13B active, it outperforms V4-Pro (Preview) on official benchmarks while delivering fast.

The Xiaomi MiMo-V2.5 series models include MiMo-V2.5, V2.5-Pro, V2.5-TTS Series, and V2.5-ASR. This represents a comprehensive leap from "usable" to "excellent," and will be open-sourced globally.

Kimi-K2.7-Code is Kimi's newest and most intelligent model, with comprehensive improvements across general Agent capabilities, coding, visual understanding, and more. It has achieved industry-leading results on benchmarks such as Humanity's Last Exam (at the doctoral level), SWE-Bench Pro, and DeepSearchQA. It also supports text, image, and video inputs, both thinking and non-thinking modes, as well as conversation and Agent tasks.

GLM-5.2 is a fifth-generation large language model developed by Z.ai, a leading artificial intelligence company in China. It is an upgraded version of GLM-5.1, with significant improvements in Coding, long-context understanding, and long-range task handling. The model supports a 1M context window and offers more flexible thinking intensity control, making it suitable for complex development, mobile full-stack development, code migration, and scientific research reproduction scenarios.

Keye-VL-2.0-30B-A3B is the latest generation 30B-level main base model of the self-developed multimodal large language model Keye family (with 3B activation parameters). This model is the first to introduce the DSA (DeepSeek Sparse Attention) sparse attention mechanism into the multimodal understanding scenario, successfully unlocking the deep perception capability of 256K ultra-long context, and achieving almost lossless reasoning ability in the temporal perception of long videos. At the same time, this is also the first time that the Keye series has built an Agent collaboration mechanism, demonstrating solid system-level collaboration and execution potential in complex scenarios such as Code, Tool, and Search.