diff --git a/README.md b/README.md index 96d1d7ce6..b40e201aa 100644 --- a/README.md +++ b/README.md @@ -47,9 +47,9 @@
Sponsors -[![MiniMax](assets/banners/minimax-en.jpeg)](https://platform.minimax.io/subscribe/token-plan?code=lqYrKBvjke&source=link) +[![MiniMax](assets/banners/minimax-en.png)](https://platform.minimax.io/subscribe/token-plan?code=lqYrKBvjke&source=link) -MiniMax-M2.7 is a next-generation large language model designed for autonomous evolution and real-world productivity. Unlike traditional models, M2.7 actively participates in its own improvement through agent teams, dynamic tool use, and reinforcement learning loops. It delivers strong performance in software engineering (56.22% on SWE-Pro, 55.6% on VIBE-Pro, 57.0% on Terminal Bench 2) and excels in complex office workflows, achieving a leading 1495 ELO on GDPval-AA. With high-fidelity editing across Word, Excel, and PowerPoint, and a 97% adherence rate across 40+ complex skills, M2.7 sets a new standard for building AI-native workflows and organizations. +MiniMax-M3 pushes the frontier of coding and agentic AI, with a 1M-token context window powered by MiniMax Sparse Attention and natively multimodal capabilities from step zero. It leads across SWE-Bench Pro (59.0), Terminal Bench 2.1 (66.0), VIBE V2 (60.1), SVG-Bench (63.7), KernelBench Hard (28.8), BrowseComp (83.5), GDPval rubrics (74.7), Banker ToolBench (76.1), MCP Atlas (74.2), and OSWorld-verified (70.0). Build, learn, and ship with the MiniMax Token Plan. [Click here](https://platform.minimax.io/subscribe/token-plan?code=lqYrKBvjke&source=link) to get an exclusive 12% off the MiniMax Token Plan + voucher for cc-connect users! diff --git a/README.zh-CN.md b/README.zh-CN.md index 40ed22c1a..5e6d6c748 100644 --- a/README.zh-CN.md +++ b/README.zh-CN.md @@ -47,9 +47,9 @@
赞助商 -[![MiniMax](assets/banners/minimax-zh.jpeg)](https://platform.minimaxi.com/subscribe/token-plan?code=HAvthxk1tT&source=link) +[![MiniMax](assets/banners/minimax-zh.png)](https://platform.minimaxi.com/subscribe/token-plan?code=HAvthxk1tT&source=link) -MiniMax M2.7 是 MiniMax 首个深度参与自我迭代的模型，可自主构建复杂 Agent Harness，并基于 Agent Teams、复杂 Skills、Tool Search Tool 等能力完成高复杂度生产力任务；其在软件工程、端到端项目交付及办公场景中表现优异，多项评测接近行业领先水平，同时具备稳定的复杂任务执行、环境交互能力以及良好的情商与身份保持能力。 +MiniMax M3 突破 Coding 与 Agentic AI 前沿，基于 MiniMax Sparse Attention 支持 1M 超长上下文，并从零原生支持多模态。在 SWE-Bench Pro (59.0)、Terminal Bench 2.1 (66.0)、VIBE V2 (60.1)、SVG-Bench (63.7)、KernelBench Hard (28.8)、BrowseComp (83.5)、GDPval rubrics (74.7)、Banker ToolBench (76.1)、MCP Atlas (74.2)、OSWorld-verified (70.0) 等多项基准中领先业界。Mini 价格 Max 性能，Token Plan 助你 Build / Learn / Ship。 [点击此处](https://platform.minimaxi.com/subscribe/token-plan?code=HAvthxk1tT&source=link)享 MiniMax Token Plan 专属 88 折优惠 + cc-connect 用户专属代金券！ diff --git a/assets/banners/minimax-en.jpeg b/assets/banners/minimax-en.jpeg deleted file mode 100644 index d4c76ec0c..000000000 Binary files a/assets/banners/minimax-en.jpeg and /dev/null differ diff --git a/assets/banners/minimax-en.png b/assets/banners/minimax-en.png new file mode 100755 index 000000000..0b81421fb Binary files /dev/null and b/assets/banners/minimax-en.png differ diff --git a/assets/banners/minimax-zh.jpeg b/assets/banners/minimax-zh.jpeg deleted file mode 100644 index f55e0ad22..000000000 Binary files a/assets/banners/minimax-zh.jpeg and /dev/null differ diff --git a/assets/banners/minimax-zh.png b/assets/banners/minimax-zh.png new file mode 100755 index 000000000..617569d5c Binary files /dev/null and b/assets/banners/minimax-zh.png differ