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MiniMax releases M3.1 Flash model

10/19/2026 — 10/19, 21:19·5 sources (all)·5 reports (all)·In the 2026-10-19 briefing

Key takeaways

  • MiniMax has released M3.1 Flash, claiming generation-level gains in agentic tasks, coding, computer use and cybersecurity, with inference ne…
  • pricing is RMB 1 per million input tokens and RMB 4 per million output tokens, with weights planned for October 23.

Background & analysis

On October 19, 2026, MiniMax announced M3.1 Flash on its official X account, describing it as reaching frontier-level intelligence in agentic AI scenarios and as redefining the performance-to-cost ratio for that field. The company also said Space Bunny, which had topped global leaderboards after processing more than 200T tokens anonymously, was an earlier version of M3.1 Flash. A post on Reddit's LocalLLaMA community said the model had been released and that its weights would be made available on October 23, without offering further details on parameters, capabilities or release format.

Coverage from 36Kr and IT之家 the same day added specifics: M3.1 Flash is said to bring generational gains in agentic tasks, coding, Computer Use and cybersecurity, with online inference roughly 3x faster and usage costs 70% lower. MiniMax also teased a Pro version aimed at a higher intelligence ceiling, to arrive soon. IT之家 reported that the model reaches leading-model levels in complex agent tasks (Cowork), Computer Use, software development and cybersecurity, ranks at the front of AutomationBench-AA, and scores 76.2 on BankerToolBench.

A V2EX user post offered a different set of figures: 73.7% on DeepSWE and 61.7 on OSWorld V2, output speeds of 200+ TPS, and pricing of 1 yuan per million input tokens, 4 yuan per million output tokens and 0.1 yuan for cache, with weights to be open-sourced later. The same post framed the release as aimed at ds4.1flash-1017 and predicted more models in the coming days, which are the poster's own assessments. Public information currently stops at launch: the only stated date for weights is October 23, and no specific date has been given for the Pro version.

AI-generated from 5 reports · updated 6 minutes ago

Latest turnMiniMax has released M3.1 Flash, which it says delivers nearly 3x faster inference and 70% lower cost, with what it calls generational gains in agentic tasks, coding, computer use and cybersecurity. The company says an early version of the model was behind the anonymous "Space Bunny" that processed over 200T tokens.

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Reports on this story headlines open the original

Today
  1. MiniMax has released M3.1 Flash, which it says delivers nearly 3x faster inference and 70% lower cost, with what it calls generational gains in agentic tasks, coding, computer use and cybersecurity. The company says an early version of the model was behind the anonymous "Space Bunny" that processed over 200T tokens.

    IT之家AI score 62
  2. According to a post on V2EX, MiniMax has released M3.1 Flash, scoring 73.7% on DeepSWE and 61.7 on OSWorld V2, with output speeds above 200 TPS. Pricing is 1 yuan per million input tokens and 4 yuan per million output tokens, with cached tokens at 0.1 yuan; the company says the weights will be open-sourced later.

    V2EXAI score 55
  3. MiniMax has released M3.1 Flash, the model that handled more than 200T tokens anonymously under the codename Space Bunny. The company says it brings generational gains in agentic tasks, coding, computer use and cybersecurity, with inference nearly 3x faster and cost 70% lower. A Pro version aimed at a higher intelligence ceiling is promised for later.

    36氪AI score 71
  4. A post on r/LocalLLaMA says MiniMax M3.1 Flash has been released, with model weights to follow on October 23. The post itself offers no further details on capabilities, benchmarks or release terms.

    Reddit · LocalLLaMAAI score 53
  5. MiniMax released M3.1 Flash, which it says reaches frontier-level intelligence while redefining the performance economics of agentic AI. The company also said Space Bunny, an earlier version of M3.1 Flash, had topped global leaderboards with more than 200T tokens.

    X:MiniMax (@MiniMax_AI)First-partyAI score 56

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