PulseAugur
中
实时 16:09:08
English(EN) MiniMax Just Launched M3.1 Flash: 428B MoE Agentic Model at $0.15/M Input

MiniMax 发布 428B M3.1 Flash MoE 模型,支持 1M 上下文

MiniMax 发布了其 M3.1 Flash 模型,这是一个拥有 428B 参数的混合专家(MoE)模型,上下文窗口为 100 万 token。该模型可通过 MiniMax API 访问,专为智能体任务、编码和视觉推理而设计。MiniMax 报告称,在智能体基准测试中表现强劲,在 Automation-Bench v1.0.6 等任务上超越了 GPT 5.6 "Sol" 和 Opus 5 等模型。然而,其编码性能表现不一,部分基准测试显示其落后于 DeepSeek-v4.1-Flash-1017 等竞争对手。 AI

影响 以具有竞争力的价格提供近乎前沿的智能体能力,可能降低复杂任务自动化的门槛。

排序理由 前沿实验室模型发布,附带系统卡。[lever_c 从 frontier_release 降级:ic=1 ai=1.0]

在 MarkTechPost 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

MiniMax 发布 428B M3.1 Flash MoE 模型,支持 1M 上下文

本文如何被排名

Signal score
29 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
前沿实验室模型发布,附带系统卡。[lever_c 从 frontier_release 降级:ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    MiniMax 发布 M3.1 Flash:428B MoE 智能体模型,输入仅售 $0.15/M

    <p>MiniMax has released M3.1 Flash, a 428B-parameter MoE model with about 23B active parameters and a 1M-token context. API pricing is $0.15/$0.60 per 1M tokens, with weights due October 23</p> <p>The post <a href="https://www.marktechpost.com/2026/10/19/minimax-m3-1-flash-releas…