SGLang speeds up MiniMax-H3 1.95x with zero quality loss
LMSYS benchmarked MiniMax-H3 on 8x H200 GPUs: SGLang's lossless path beats Diffusers by up to 1.95x, while steeper tiers trade SSIM fidelity for up to 6x speed.
10 verified stories covering MiniMax, product updates and industry developments.
LMSYS benchmarked MiniMax-H3 on 8x H200 GPUs: SGLang's lossless path beats Diffusers by up to 1.95x, while steeper tiers trade SSIM fidelity for up to 6x speed.
MiniMax's new Design platform uses AI agents to stitch its 15-second H3 clips into coherent films up to 3 minutes, aimed at short dramas and brand video.
MiniMax H3 combines 2K, 15-second video, native stereo audio, RMB 0.8-per-second pricing and a coming open-weight release.
MiniMax raises another HK$16B. A concise localization of the verified facts and the industry signal behind the story.
Zhipu and MiniMax shares fell before cornerstone investor lock-ups expire on July 8 and 9, raising concerns about a sudden supply of tradable stock.
MiniMax released the open-weight M3 model with 1M-token context, advanced coding ability, and native multimodality, claiming it is the first to combine all three.
MiniMax's M2.7 model used an agent framework to automatically run over 100 training iterations without human intervention, boosting internal benchmarks by 30%. The 230B-parameter sparse MoE model activates only 10B per inference and is now open-source.
MiniMax has unveiled its M1 reasoning model series, targeting OpenAI's o-series and DeepSeek's R1 with strong performance in math, code, and logic tasks, while its M2.5 iteration scores 80.2% on SWE-bench Verified.
MiniMax, a relatively low-profile Chinese AI company, has built a strong reputation for its Hailuo AI video generation tool, which rivals top-tier domestic tools and early versions of Sora in quality.
MiniMax's 01 series introduces Lightning Attention, a linear attention variant that cuts computational complexity from O(n²) to near O(n), delivering significant speed gains in long-context scenarios while maintaining competitive accuracy.