Compare GLM 5.2 from Z.AI and Qwen3.8 Omni Flash from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GLM 5.2
Qwen3.8 Omni FlashGLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
Qwen3.8 Omni Flash is Alibaba Cloud Qwen's next-generation native multimodal model, supporting 1M-length sequences and able to directly accept text, images, audio, and video as input. It is based on the Qwen3.8-Flash-Next architecture. The model is designed for agent capabilities in real productivity scenarios: while offering agentic abilities such as programming, text knowledge work, and GUI operation, it also achieves significant results in audio/video-centered agentic applications—such as video editing, music video creation, film production and narration, audio/video-to-text-and-image summarization, and audio/video dialogue—that require integrated processing of text, images, audio, and video. It supports 2-channel and 4-channel spatial audio parsing, is compatible with DashScope and OpenAI protocols, and it is recommended to install the accompanying Qwen-MM-Plugins to facilitate agent frameworks' access to native multimodal capabilities.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
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Estimate your monthly bill for the same workload on each model.
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Qwen3.8 Omni Flash: $0.38/M output tokens; GLM 5.2: $2.524/M. Use the cost calculator above to estimate your own workload.
GLM 5.2 accepts 1,000,000 and Qwen3.8 Omni Flash accepts 991,000 input tokens.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Qwen3.8 Omni Flash accepts text, image, video and audio input.
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