GLM 5
GLM 5 是一款旨在优化 LLM models 工作流程的顶级人工智能工具。
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GLM-5 features 744 billion parameters (40 billion active parameters) and was pre-trained on 28.5 trillion tokens, a significant increase from its predecessor, GLM-4.5.
The model integrates DeepSeek Sparse Attention (DSA) to largely reduce deployment costs while preserving its long-context capacity.
GLM-5 utilizes 'slime', a new asynchronous Reinforcement Learning (RL) infrastructure developed to substantially improve training throughput and efficiency for fine-grained post-training iterations.
GLM-5 achieves best-in-class performance among all open-source models globally on reasoning, coding, and agentic tasks, closing the gap with frontier models.
GLM-5 can be served locally using various open-source frameworks including vLLM (v0.19.0+), SGLang (v0.5.10+), KTransformers (v0.5.3+), Transformers (v0.5.4+), and xLLM (v0.8.0+).
GLM-5 API services are available for use on the Z.ai API Platform.
详细定价信息
- Significantly scaled model with 744B parameters and 28.5T pre-training tokens, offering enhanced intelligence.
- Reduced deployment costs and preserved long-context capacity due to the integration of DeepSeek Sparse Attention (DSA).
- Improved RL training throughput and efficiency through the novel 'slime' asynchronous RL infrastructure, allowing for more fine-grained post-training iterations.
- Achieves best-in-class performance among open-source models on reasoning, coding, and agentic tasks, closing the gap with frontier models.
- Supports local deployment using popular open-source frameworks like vLLM, SGLang, and Transformers, offering flexibility for users.
- 最终生成结果的精准度直接取决于初始提示词或输入指令的详尽程度。
- 大规模批量生成或高频处理需要更高规格的账户配额支持。
GLM 5 是否免费使用？
GLM 5 采用 Open Source 定价模式。您可以访问其官方网站查看可用的免费套餐或试用选项。
GLM 5 提供哪些主要功能？
GLM 5 专注于 LLM models 领域，帮助用户高效地简化工作流程并生成自动化AI输出。
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