MiniMax 发布了 MiniMax 2.7，这是一个开源模型，在多项基准测试中性能与 Z.ai 的 GLM-5 相当，但成本却显著降低。该模型以其效率著称，并声称是第一个深度参与自身演进的模型，处理了其工作流程的一部分。MiniMax 还在探索多智能体协作和金融用例，并发布了一个名为 OpenRoom 的开源娱乐应用演示。 AI
排序理由 一家重要的中国 AI 实验室发布了新模型，以更低的成本达到了 SOTA 开源模型的性能。
AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →
**MiniMax M2.7** is the headline model release, described as a "self-evolving agent" with strong performance metrics including **56.22% on SWE-Pro**, **57.0% on Terminal Bench 2**, and parity with **Sonnet 4.6**. It features recursive self-improvement in skills, memory, and archi…
**Zhipu AI** launched **GLM-5**, an **Opus-class** model scaling from **355B to 744B parameters** with **DeepSeek Sparse Attention** integration for cost-efficient long-context serving. GLM-5 achieves **SOTA on BrowseComp** and leads on **Vending Bench 2**, focusing on office pro…
**Z.ai** (Zhipu AI) released the **GLM-4.5-355B-A32B** and **GLM-4.5-Air-106B-A12B** open weights models, claiming state-of-the-art performance competitive with **Claude 4 Opus**, **Grok 4**, and OpenAI's **o3**. These models emphasize token efficiency and efficient reinforcement…
<p><em>Originally published at <a href="https://blog.runc.ai/sglang-vs-vllm/" rel="noopener noreferrer">https://blog.runc.ai/sglang-vs-vllm/</a>.</em></p> <h2 id="key-takeaways">Key Takeaways</h2> <ul> <li> <code>vLLM</code> is still the default starting point for many teams beca…