MiniMax-M2.5

MiniMax 开源新评测集：定义Coding Agent 的生产级标准

MiniMax 开源新评测集：定义Coding Agent 的生产级标准 - MiniMax News | MiniMax 模型 文本 MiniMax M2.7 MiniMax M2.5 MiniMax M2-Her MiniMax M2.1 MiniMax M2 语音 MiniMax Speech 2.8 MiniMax Speech 2.6 MiniMax Speech 2.5 视频 MiniMax Hailuo 2.3 / 2.3 Fast MiniMax Hailuo 02 音乐 MiniMax Music 2.6 MiniMax Music 2.5+ MiniMax Music 2.5 MiniMax Music 2.0 MiniMax Music 1.5 产品 AI原生应用 MiniMax 桌面版 Agent 海螺视频 语音 星野 开放平台 即刻接入AI能力 文档中心 Token Plan 产品定价 平台登录 新闻动态 关于我们 与所有人共创智能 公司介绍 投资者关系 加入我们 EN 登录 API 开放平台 MiniMax Agent

MiniMax Speech 2.8 NEW

Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks

We study parallel test-time scaling for long-horizon agentic tasks such as agentic search and deep research, where multiple rollouts are generated in parallel and aggregated into a final response. While such scaling has proven effective for chain-of-thought reasoning, agentic tasks pose unique challenges: trajectories are long, multi-turn, and tool-augmented, and outputs are often open-ended. Aggregating only final answers discards rich information from trajectories, while concatenating all trajectories exceeds the model's context window. To address this, we propose AggAgent, an aggregation agent that treats parallel trajectories as an environment. We equip it with lightweight tools to inspect candidate solutions and search across trajectories, enabling it to navigate and synthesize information on demand. Across six benchmarks and three model families (GLM-4.7, Qwen3.5, MiniMax-M2.5), AggAgent outperforms all existing aggregation methods-by up to 5.3% absolute on average and 10.3% on two deep research tasks-while adding minimal overhead, as the aggregation cost remains bounded by a single agentic rollout. Our findings establish agentic aggregation as an effective and cost-efficient approach to parallel test-time scaling.

MiniMax-M2.5 is now available through Ollama Cloud. 198K context window listed. MiniMax-M2.5 is a state-of-the-art large language model designed for real-world productivity and coding tasks.