{"id": "na-corp-minimax-open-weight", "key": "neuroai2026corpminimaxopenweight", "title": "MiniMax open-sources a reasoning model trained for the price of a studio apartment", "author": "NeuroAI", "publisher": "BrainNet (脑机网)", "date": "2026-10-08", "url": "https://neuroai.site/a/na-corp-minimax-open-weight", "section": "Companies & Stack", "apa": "NeuroAI. (2026, October 8). MiniMax open-sources a reasoning model trained for the price of a studio apartment. BrainNet (脑机网). https://neuroai.site/a/na-corp-minimax-open-weight", "mla": "\"MiniMax open-sources a reasoning model trained for the price of a studio apartment.\" NeuroAI, BrainNet (脑机网), 8 Oct. 2026, neuroai.site/a/na-corp-minimax-open-weight.", "chicago": "\"MiniMax open-sources a reasoning model trained for the price of a studio apartment.\" NeuroAI, BrainNet (脑机网), October 8, 2026. https://neuroai.site/a/na-corp-minimax-open-weight.", "plain": "NeuroAI (脑机网), \"MiniMax open-sources a reasoning model trained for the price of a studio apartment,\" 8 October 2026, https://neuroai.site/a/na-corp-minimax-open-weight", "bibtex": "@misc{neuroai2026corpminimaxopenweight,\n  author       = {{NeuroAI}},\n  title        = {{MiniMax open-sources a reasoning model trained for the price of a studio apartment}},\n  year         = {2026},\n  month        = {oct},\n  publisher    = {{BrainNet (脑机网)}},\n  howpublished = {\\url{https://neuroai.site/a/na-corp-minimax-open-weight}},\n  note         = {China AI Decoded. Accessed 2026-10-29.},\n  language     = {english}\n}\n", "ris": "TY  - GEN\nTI  - MiniMax open-sources a reasoning model trained for the price of a studio apartment\nAU  - NeuroAI\nPY  - 2026\nDA  - 2026/10/08\nPB  - BrainNet (脑机网)\nUR  - https://neuroai.site/a/na-corp-minimax-open-weight\nLA  - en\nER  - \n", "exports": {"bibtex": "https://neuroai.site/a/na-corp-minimax-open-weight.bib", "ris": "https://neuroai.site/a/na-corp-minimax-open-weight.ris", "markdown": "https://neuroai.site/a/na-corp-minimax-open-weight.md", "json": "/api/cite/na-corp-minimax-open-weight"}}