perspectiva aiqbenchProduse AI
analiza aiqbench
MiniMax's new M3.1 Flash model introduces a cost-effective, high-context agentic option with a massive 428B parameter MoE architecture, offering significant pricing advantages for inference-heavy applications. The release of weights on October 23 will allow developers to fine-tune this specific configuration, potentially accelerating the adoption of specialized agent workflows in enterprise environments.
5
Surse care acoperăMarkTechPost, SiliconANGLE, AWS, 36Kr
Ce este aceastaLectura unui model asupra articolului și a acoperirii conexe, scrisă pentru aiqbench. Nu sunt cuvintele publicației.
MiniMax Just Launched M3.1 Flash: 428B MoE Agentic Model at $0.15/M Input
MarkTechPost1 min de cititArticolul și perspectiva sunt în engleză.
MiniMax has released M3.1 Flash, a 428B-parameter MoE model with about 23B active parameters and a 1M-token context. API pricing is $0.15/$0.60 per 1M tokens, with weights due October 23 The post MiniMax Just Launched M3.1 Flash: 428B MoE Agentic Model at $0.15/M Input appeared first on MarkTechPost.
Citește articolul complet pe MarkTechPostSubiecte conexe

Machine learning
The Open Weight Models that Matter: June 2026
OpenRouter · 27 iun. 2026

Siguranță AI
[AINews] not much happened today
Latent Space · 10 sept. 2026

Produse AI
[AINews] not much happened today
Latent Space · 3 oct. 2026
Cipuri & infrastructură
Efficient MiniMax-M3 Inference on AMD Instinct GPUs with ATOM and ATOMesh
AMD · 21 iul. 2026