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X 上的 AI 合集档案 · 22 个合集 · 58,925 条

minimax-m3.1IMAGE

MiniMax M3.1 Flash 发布:428B MoE、$0.15/$0.60、常开推理五档

官方规格整理:428B MoE 约 23B 激活、1M 上下文、文本图像视频输入,定价 $0.15/$0.60 每百万 token;推理不可关闭,五档 effort;Automation-Bench 62.2 超 Opus 5,但 Terminal Bench 4.0 落后 13.7 分,DeepSWE 也低于 Dee

▲ Marktechpost AI
@Marktechpost8 天前收录原推发布于 2026.10.19
MiniMax M3.1 Flash 发布:428B MoE、$0.15/$0.60、常开推理五档
▲ Marktechpost AI @Marktechpost原推发布于 2026.10.19
在 X 上打开原推

▲ MiniMax just released M3.1 Flash, pushing frontier-level agent performance down to Flash pricing: $0.15 / $0.60 per 1M tokens on a 428B MoE with about 23B activated parameters. Space Bunny, the stealth model that processed 200T+ tokens, was an earlier version of it. 🐰 Yes, Space Bunny was on M3.1 Flash from its development... The core design choice is always-on reasoning with 5 effort levels, from Low to Max. Thinking cannot be disabled, so M3 integrations that send thinking.type=disabled now return an error. On MiniMax's own table, it scores 62.2 on Automation-Bench v1.0.6, ahead of Opus 5 (50.3) and GPT-5.6 Sol (45.8), and ties Opus 5 on BankerToolBench at 76.2. Every effort level stays below $0.05 per task. It is a trade-off though: it trails Opus 5 by 13.7 points on Terminal Bench 4.0, and DeepSeek V4.1 Flash-1017 still beats it on DeepSWE (77.0 vs 73.7). With a 1M context window, text, image and video input, and a flat price at half of M3's per-token rate, it targets high-volume coding and office agents. Open weights arrive Oct 23...... Full analysis: https://www.marktechpost.com/2026/10/19/minimax-m3-1-flash-release/ API: http://platform.minimax.io Try it: http://agent.minimax.io/tools/m3-1-flash-preview @MiniMax_AI

x.com/marktechpost/status/2112163385806885185采集于 2026.10.20 20:27