Magic reveals 100M-token context model and $320M in fresh funding
Magic just announced LTM-2-mini, an ultra-long context model capable of processing 100M tokens—equivalent to roughly 10 million lines of code or 750 novels. The startup claims its sequence-dimension algorithm is 1,000x cheaper per decoded token than Llama 3.1 405B at that context scale, and revealed $320M in new funding alongside a Google Cloud partnership to build supercomputers.