Model Marketplace

Qwen3.8-Max-0902 is an upgraded snapshot of qwen3.8-max. Coding capability breaks new ground, handling more complex engineering-scale projects and long-horizon autonomous development. Collaborative agent performance is significantly enhanced, with greater composure in multi-tool orchestration and end-to-end task delivery. Native vision understanding is refined across chart reasoning, document parsing, and multimodal perception — sharper and more reliable. Retains the 1M context window, thinking mode, and full tool ecosystem, evolving at a higher level of intelligence.

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.

Rich content: Supports input of up to 4.5k tokens and dense information layout with images-within-images, enabling complex layouts like newspapers, storyboards, menus, and exam papers to be generated in a single pass. Authentic detail: Supports precise rendering of text as small as 10px, and vividly reproduces fine details such as micro-expressions, pores, and individual strands of hair—approaching the quality of real photography. Deep knowledge: Supports native rendering of 12 languages and various fonts, realistic simulation of mainstream interfaces such as web pages, games, and live streams, fully incorporating external knowledge. Qwen-Image-3.0-Pro isn't just pursuing "good looks"—it's pursuing "usefulness", making image generation a truly deployable productivity tool.

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.

GLM-5.3 is Zhipu AI’s most powerful model for programming capabilities to date, demonstrating a 50% improvement over GLM-5.2 in internal subjective evaluations. In terms of cybersecurity, GLM-5.3 performs on par with Mythos 5 in tasks such as white-box code review and vulnerability discovery, showcasing its strong potential for cybersecurity defense scenarios.

A highly efficient, lightweight MoE model with 284 billion parameters in total and 13 billion activated parameters, natively supporting context windows of up to one million tokens. It offers fast inference speed, low latency, and cost-effective invocation, delivering well-balanced overall performance. Designed for high-concurrency, lightweight workloads, it is ideally suited for common, essential use cases such as everyday dialogue, content creation, basic RAG applications, and batch text processing.

Kimi-K3 is Moonshot AI’s most capable flagship model to date, featuring 2.8 trillion parameters. Built on the KDA hybrid linear attention mechanism (Kimi Delta Attention) and Attention Residuals, it natively supports visual understanding and offers a 1-million-token context window. As the world's first open-source model at the 3-trillion-parameter scale, it is designed for frontier intelligence scenarios such as long-horizon programming, knowledge work, and reasoning.

Qwen-Audio-3.0-TTS-Flash is a high-performance speech synthesis model, optimized for real-time interactive scenarios. Compared with the previous version, it supports more low-resource languages and Chinese dialects, improves dialect authenticity, and enhances free-style instruction following and fine-grained tag control for more flexible control over emotion, tone, character, speaking rate, volume, and expressive style. It is also more robust under noisy and reverberant acoustic conditions, with improved audio quality, clarity, and overall expressiveness. The Flash version focuses on real-time synthesis, making it suitable for voice assistants, real-time dialogue, intelligent customer service, and other low-latency interactive applications.

The Bailing ASR version, updated in June 2026, fully supports the seven major dialect systems of traditional Chinese (Mandarin/Wu/Xiang/Gan/Hakka/Min/Yue) and is compatible with over 20 regional Mandarin accents. It features specific optimizations for the rhythm, meter, and literary expression characteristics of classical Chinese poetry, improving the accuracy of poetry recognition and making it suitable for cultural heritage, educational explanations, and audiobooks. Improved punctuation prediction and text normalization capabilities make the output text more consistent with written expression habits; numbers, dates, and amounts are automatically converted to standard formats, enhancing readability and professionalism. The language support has been expanded to include English, Japanese, Korean, Vietnamese, Thai, Indonesian, Malay, Filipino, Hindi, Arabic, French, German, Spanish, Portuguese, Russian, Italian, Dutch, Swedish, Danish, Finnish, Norwegian, Greek, Polish, Czech, Hungarian, Romanian, Bulgarian, Croatian, and Slovak, totaling 30 languages. It supports contextualization capabilities and can transcribe audio up to 5 minutes in length.