MiniMax M3.1 Flash
- ID
- 37139
- Status
- summarized
- Published
- 20 Oct 2026, 12:39 AM
- Fetched
- 20 Oct 2026, 4:51 AM
- Provider
- Hacker News
- Category
- dev-community
- Original URL
- https://www.minimax.io/blog/minimax-m31f
- Source URL
- https://hnrss.org/best
Summary
- Score
- 6.5
- Created
- 20 Oct 2026, 4:51 AM
- Tags
- Audience
- developersvibe_codersai_ml_learnersai_agent_userssaas_founders
What happened
MiniMax announced MiniMax M3.1 Flash, a next-generation "Flash" model it says makes online inference nearly 3x faster and cuts usage costs by 70% versus its prior version. The post reports self-run benchmark scores of 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and 82% on CyberGym, and claims the model completes end-to-end enterprise workflows across SaaS systems (sales, marketing, ops, support, finance, HR). It also says an early version ran anonymously as "Space Bunny" and processed more than 200 trillion tokens before launch. All figures are MiniMax's own, with no independent replication or pricing table in the text.
Why it matters
A 70% cost cut and ~3x faster inference on agentic workloads changes the unit economics of anything you run at volume — multi-step coding agents, computer-use loops, document-chaining workflows — so the practical move is to re-run your own eval set and cost-per-task math against your current model rather than trusting the vendor's BankerToolBench/DeepSWE numbers. For Malaysian teams paying USD for inference on thin SaaS margins, a cheaper Flash tier is worth benchmarking before your next pricing or quota decision, but treat the benchmark claims as unverified until you test them yourself.
Discussion angle
The 'Space Bunny processed 200 trillion tokens anonymously' claim is the most interesting part — is silent deployment on a public chat surface real evidence of model quality, or just an unverifiable marketing story? Pair that with: which of these self-reported benchmarks (BankerToolBench, DeepSWE v1.1, OSWorld V2, CyberGym) would you actually trust, and what's the cheapest internal eval you could run this week to check the 70% cost claim?