AI Models
MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token.
MiniMax 开放 M3.1 Flash 权重：428B 总参数、每 token 激活 23B
MiniMax (official) (@MiniMax_AI)
X (formerly Twitter)MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token. Agentic performance: A generational leap in agentic tasks, coding, and cybersecurity — 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and 82.2 on CyberGym. Eff…
Open sourceRecommended because
This is worth tracking because it is a concrete model capability signal, not just a passing headline. The source preview points to a change in model capability, availability, benchmark behavior, or developer access. For builders and operators, "MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token." can be used as a checkpoint for model selection, product roadmaps, eval planning, and timing decisions. I keep this thread indexed so future searches around AI model updates, capability shifts, and developer adoption can land on a source-linked page instead of disappearing into a fast-moving feed from X (formerly Twitter).
What to take from this signal
Context
"MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token." is archived here as a source-linked AI signal from X (formerly Twitter). The useful part is the connection between MiniMax, Flash, weights, public, 428B and model selection, product roadmaps, eval planning, and timing decisions, which makes the item more actionable than a normal feed headline. The source context says: MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token. Agentic performance: A generational leap in agentic tasks, coding, and cybersecurity — 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and 82.2 on CyberGym. Eff…
Builder takeaway
For an AI builder, the main takeaway is to watch how this signal changes practical decisions around model quality, latency, cost, eval coverage, and release timing. It can inform what to test next, which product surface to compare, and whether the underlying workflow is ready for real users.
Source context
X (formerly Twitter) remains the authoritative source for the original claim. This page adds a stable archive URL, a short builder interpretation, and related search language so the item can be found later when the original feed has moved on.
Search angles
- MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token. AI Models context
- X (formerly Twitter) AI model releases
- MiniMax, Flash, weights, public, 428B builder takeaway
- AI model updates, capability shifts, and developer adoption
This page keeps a source preview and a stable archive URL for search discovery. The original source remains authoritative.