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#MiniMax-M3.1-Flash

2 stories · 2 in 7 days · 2 in 30 days
MiniMax 2开源模型 2Code Arena 1推理模型 1编程助手 1
Stories, products and papers tagged "MiniMax-M3.1-Flash", newest first.
10月20日
ModelsUS vs ChinaMulti-sourceSelected00:01
MiniMax-M3.1-Flash scores 42 on Artificial Analysis Index

Efficiency is the headline: the model used ~189M output tokens versus 324M for GLM-5.3-Flash, so low cost comes from token frugality as much as pricing. Its 93% hallucination rate on AA-Omniscience means teams should add verification layers for factual workloads. An open-weights release on 23 October 2026 would make it directly comparable with DeepSeek's open models for ASEAN startups building on local hosting.

#MiniMax#MiniMax-M3.1-Flash#DeepSeek#GLM
Event
官方账号Artificial Analysis@ArtificialAnlys6 sourcesSource
10月19日
ModelsUS vs ChinaMulti-sourceSelected21:13
MiniMax-M3.1-Flash Debuts at #12 Among Open Models in Code Arena

A one-third cost cut plus a 3x speed gain while climbing 106 points on the WebDev leaderboard makes M3.1-Flash one of the most price-competitive coding models available via API right now. Developers building agentic coding or automation workflows can compare it directly against pricier frontier options at the flat US$0.15/US$0.60 rate, and open weights landing on 23 Oct will enable self-hosting.

#MiniMax#M3.1-Flash#Code Arena#open-source models
Event
lmarena.ai@lmarena_ai6 sourcesSource