一元化された API を介して、トップクラスの AI モデルを探索および統合します。
🔥 LIMITED-TIME OFFER: 1080P at 20% OFF! 🔥 ByteDance's latest flagship video generation model, built for longer-form storytelling and production-ready output. Generates up to 30 seconds of continuous, cinematic video with native audio sync in a single pass . Accepts up to 50 multimodal references (images, videos, audio, character sheets, storyboards) for precise scene, character, and motion consistency . Features localized region editing to fix specific areas without full regeneration……
Wan3.0-Video is an all-in-one video generation model unified support for multiple creative capabilities, including reference, editing, replication, and driving. It generates videos up to 30 seconds with omni-modal reference, and can parse files, web pages and complex images. With production-grade character consistency and lifelike visuals and sound, it delivers an immersive audiovisual experience.
Lightweight, cost-efficient video model from ByteDance, optimized for speed and high-volume content creation. Supports text-to-video, image-to-video, and reference-based generation with up to 12 references (6 images, 3 audio, 3 video). Delivers faster generation and lower credit consumption than Seedance 2.0, with strong motion quality and character consistency. Ideal for social media content, product videos, AI short dramas, and rapid creative iteration
Zhipu AI's flagship text model optimized for complex software engineering and long-horizon Agent tasks. Features a 1M-token context window with mandatory reasoning (3 levels: low/high/max). Coding capability improved 50% over GLM-5.2 on Z.ai Code Bench; scores SOTA on Terminal Bench 3.0. Excels in cybersecurity tasks (cyber vulnerability discovery)
Generate videos from reference images, videos, and audio; edit videos; extend videos; generate videos from start and end frames
Wan3.0-Video-Prime is the high-speed video generation model of Wan3.0, with capabilities aligned to the standard version of Wan3.0-Video. It supports four-modal all-in-one reference and generates videos of up to 30 seconds, delivering an immersive audiovisual experience with significantly faster end-to-end generation.
Generate videos with reference to images/videos/audio, edit videos, extend videos, generate videos from first and last frames
Flagship unified multimodal model integrating text-to-video, image-to-video, and reference-based generation. Supports up to 15-second cinematic clips with native synchronized audio (dialogue, SFX, BGM). Enables multi-shot control (up to 6 shots) and consistent subject/character preservation across scenes. Pro mode outputs 1080p with enhanced motion realism
Next-generation video generation model offering Standard and Pro tiers. Generates 3–15 second clips at up to 1080p resolution from text or image inputs. Features first-frame and last-frame control for precise scene composition. Supports 16:9, 9:16, and 1:1 aspect ratios. Native audio generation available as an optional feature
World's first unified multimodal video model built on MVL (Multi-modal Visual Language) architecture. Accepts multimodal inputs—text, images, videos, and elements—for all-in-one creation and editing. Supports reference-based generation, start/end frame interpolation, video in/outpainting, stylization, and multi-subject consistency. Generates 3–10s clips with up to 7 reference images
Alibaba's cost-efficient multimodal reasoning model. Supports text, image, and video inputs with text output. Features a native 1M-token context window for long documents, codebases, and agentic workflows. Excels in coding assistance, desktop interaction, chart analysis, and long-video understanding. Compatible with OpenAI/Anthropic protocols for seamless integration
Flagship text model purpose-built for long-horizon agentic workflows. Features a 1M context window supporting project-level engineering in a single session. Excels at autonomous coding: can complete development, testing, and multi-platform deployment from a single prompt. Top open-weight model per Artificial Analysis; #1 globally on Code Arena. MIT-licensed and Day-0 optimized for domestic AI chips
Open-weight general-purpose multimodal video model. Unifies text, image, video, and audio understanding in a single context window, generating up to 2K resolution, 15-second clips with native stereo audio at 24fps. Supports multimodal reference inputs: up to 9 images, 3 videos, and 3 audio clips (12 total references) per generation. Features first-frame, last-frame, and full reference modes with conversational editing capabilities.
Compared with the September 23, 2025 version, the newly upgraded Qwen-3 Max seamlessly integrates thinking and non-thinking modes, bringing an all-round obvious performance boost. Its thinking mode supports web search, web content extraction and code interpreter. It can conduct in-depth logical reasoning and call external tools to solve intricate problems more precisely
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.
Supports text, single-image and multi-image inputs, and enables the generation of image sets
Flagship multimodal foundation model supporting text, image, and video inputs with text output. Features a 1M-token context window via MiniMax Sparse Attention (MSA), cutting per-token compute to ~1/20 of previous gen at full context. Excels at long-horizon agentic work, coding, and tool use. Native multimodal training from step zero ensures deep semantic alignment. Scores 59.0% on SWE-Bench Pro and 83.5 on BrowseComp, surpassing Opus 4.7
Powered by Qwen3, this is a powerful Coding Agent that excels in tool calling and environment interaction to achieve autonomous programming. It combines outstanding coding proficiency with versatile general-purpose abilities.
The Qwen3.6 native vision-language Plus series models demonstrate exceptional performance on par with the current state-of-the-art models, with a significant improvement in overall results compared to the 3.5 series. The models have been markedly enhanced in code-related capabilities such as agentic coding, front-end programming, and Vibe coding, as well as in multi-modal general object recognition, OCR, and object localization.
Supports generating video with audio from text and images, and supports first and last frames.
GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows involving long execution chains, with improved complex instruction decomposition, tool use, scheduled and persistent execution, and overall stability across extended tasks.
High-performance text model delivering breakthrough coding and long-horizon task execution. Capable of autonomous, continuous work for 8+ hours per session—planning, executing, and iterating to deliver engineering-grade results. Coding capability aligns with Claude Opus 4.6; scores 58.4 on SWE-Bench Pro, surpassing GPT-5.4 and Opus 4.6. 200K context window. Optimized for Agentic Coding, MCP tool calling, and complex software engineering
A streamlined AI video model prioritizing speed and cost-efficiency. Generates 6-second 768p videos rapidly with 50% lower batch costs. Maintains solid motion physics and stylization for quick iterations, drafts, and short-form content.
A flagship AI video model delivering breathtaking motion and lifelike emotion. Excels in fluid character movements, cinematic lighting, and multi-style support (anime, ink wash). Produces 1080p, 6/10-second videos with natural micro-expressions for high-fidelity creative work.