AI summary
MiniMax M3.1 Flash offers near-frontier agentic performance at a fraction of the cost, making advanced AI capabilities accessible to developers.
AI-generated summary. Check the original reporting for context and accuracy.
MiniMax Just Launched M3.1 Flash: 428B MoE Agentic Model at $0.15/M Input
Source excerpt
This is the available feed excerpt, which may be shortened or in the publisher’s original language.
MiniMax has just released MiniMax M3.1 Flash on its API, priced at $0.15 per 1M input tokens. MiniMax also confirmed that Space Bunny was an earlier M3.1 Flash build. That stealth model processed over 200T tokens. For developers, the message is near-frontier agentic scores at Flash-tier cost. Model weights are due in late October, 2026. TL;DR Size: 428B total parameters, about 23B active (MoE); 1,000,000-token context Runs on: MiniMax API, M Plan and MiniMax Code today. Self-hosting hardware not disclosed; weights arrive Oct 23 Performance: Near-frontier on agentic office work, mid-pack on hard coding, all MiniMax-reported Best: Automation-Bench v1.0.6 at 62.2, the top score in MiniMax’s table Worst: Terminal Bench 4.0 at 38.1, versus 51.8 for Opus 5 What is MiniMax M3.1 Flash? MiniMax M3.1 Flash is a multimodal mixture-of-experts model from MiniMax. It targets coding, agentic office work and visual reasoning. MiniMax’s product page lists 428B total parameters and about 23B active. It also mentions sparse attention and a native visual encoder. The model accepts text, image and video input and returns text. The context window is 1,000,000 tokens. Those parameter totals match MiniMax M3, which ships at ~428B total and ~23B active. MiniMax has not published a technical report on what changed in the Flash variant. How does reasoning work in M3.1 Flash? Reasoning is always on and cannot be disabled. Developers choose from 5 effort levels: Low, Medium, High, Xhigh and Max. MiniMax recommends Max as the default. Migration matters here. Requests sending thinking.type=disabled or effort=none return an error. Reasoning arrives in a separate reasoning_content field, which may be absent. Integrations that parse inline tags from M3 need updating. How does M3.1 Flash perform on benchmarks? All scores below are MiniMax-reported. No independent replication exists yet. On the CoWork set, M3.1 Flash leads Automation-Bench v1.0.6 at 62.2. Opus 5 scores 50.3 and GPT-5.6
About priority
An automated sorting aid based on source trust, keywords, and entities, on a scale of 1–12. High: 9–12; medium: 6–8; low: 1–5. It does not measure urgency, verify reporting, or indicate editorial endorsement.