MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex, multi-step co-work automation, understanding real codebases, fixing bugs, and building features, and visual understanding and creation, including frontend and presentation creation. Open weights are planned.
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex, multi-step co-work automation, understanding real codebases, fixing bugs, and building features, and visual understanding and creation, including frontend and presentation creation. Open weights are planned.
Currently powered by DeepSeek-V4.1-Flash-1017, with native multimodal visual understanding and support for both thinking and non-thinking modes. Suitable for complex reasoning, coding, long-document analysis, visual understanding, and tool calling.
Powered by the Hunyuan 3D 3.1 model, it can generate higher-precision and higher-quality 3D assets. It supports text-to-3D, image-to-3D, eight-view-to-3D, geometry-only generation (white models), sketch-to-3D, and intelligent topology generation.
A next-generation omni-modal large model with native unified understanding of text, vision, and audio. It features a 1M-token context window and strong overall multimodal capabilities, with significant improvements in task completion for coding and agentic scenarios.
Seed-Evolving is a model in the Seed series designed for agentic workflows, multimodal understanding, and software development. This update further strengthens complex task planning, visual reasoning, tool execution, and result verification, enabling the model to better understand images, videos, and real software environments, and to more reliably complete the full workflow from information gathering to final delivery. Use the unified Model ID **`doubao-seed-evolving`** to continuously access the latest model capabilities without needing to track or switch between model versions.
Combines the flagship performance of V2.6-Pro with up to 20× faster output, making it ideal for highly interactive, real-time applications and production workloads that are sensitive to response latency.
A highly capable, cost-efficient multimodal reasoning model, offering an optimal balance for high-frequency professional workloads and large-scale task execution.
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding workloads. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers top-tier performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.
Doubao-Seedream-5.0-flash is a fast image generation model that balances speed and cost efficiency. It supports precise image editing, layer separation, and transparent-background output, making it well suited for high-frequency, large-scale image production and fast interactive workflows.
**Step 5 Preview is StepFun’s next-generation flagship foundation model designed for real-world tasks**, with a strong focus on coding and professional knowledge work. The model natively supports text, image, and video inputs, and offers a **1M-token context window**, making it well suited for tasks that require processing large amounts of information, using tools, and continuously progressing toward a final deliverable.
GLM-5.3-FlashX is the first natively multimodal model in the GLM-5 series, delivering stronger intelligence than GLM-5.2 through an ultra-low-cost architecture.
A next-generation large language model built for production-grade intelligence, with comprehensive upgrades across coding, agentic capabilities, and multimodal understanding. With stronger autonomous planning, long-horizon execution, and dynamic error recovery, it is designed to handle complex real-world enterprise tasks.
2.4-trillion-parameter MoE flagship delivering a comprehensive leap in coding and professional work. Autonomously codes and delivers complete projects spanning 10+ days. Handles hundreds of specialized tasks across legal, financial, design, and other professional domains, producing production-grade results end-to-end in a single conversation. Native visual understanding runs through the full cycle of planning, execution, and verification, enabling deep semantic analysis of ultra-long documents and extended video content. In long-horizon tasks, plans autonomously, iterates through closed feedback loops, and continuously evolves.
MiniMax H3 Max is a video-generation model from MiniMax, jointly released with fal.ai. Derived through additional training from MiniMax H3, it is designed for faster text-to-video and image-to-video generation with controlled first-frame or last-frame keyframes.
High-quality voice synthesis with precise adherence to style instructions. Supports inline emotion tags for word-level control and can capture a character’s vocal persona with zero-shot prompting.
Supports bilingual Chinese-English and multi-dialect speech recognition without requiring language labels, automatically identifying each language in code-switched speech. It also supports lyric transcription and is designed to handle challenging acoustic environments, including strong background noise.
hy4-preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that require planning, context continuity, and sustained multi-step execution.
Qwen3.8-Flash is the latest multimodal model from the Qwen family, combining powerful reasoning and generation with remarkable speed. It natively supports a million-token context window, allowing it to process lengthy documents, entire codebases, and complex conversations in a single pass. It shines in coding assistance, agentic workflows, and visual understanding — whether it's fixing code autonomously, operating desktop applications, or analyzing charts and long videos. Fully compatible with both OpenAI and Anthropic API protocols, it integrates seamlessly with popular developer tools like Claude Code and Codex, making it easy to build high-concurrency applications and intelligent workflows. With strong performance and highly competitive inference costs, Qwen3.8-Flash is an ideal choice for developers and businesses seeking the best of both worlds in AI applications.
Native multimodal GLM model for efficient coding and long-horizon agent tasks
