Alibaba, DeepSeek, and xAI Drop 3 Huge AI Models in One Day
The AI rat race hit warp speed as Alibaba, DeepSeek, and xAI dumped massive open weights and hyper-cheap agentic models on the same day, declaring war on human coders.
Alibaba officially released open weights for its monstrous Qwen3.8-Max model, packing 2.4 trillion parameters across 512 experts. To prevent compute bills from triggering a regional blackout, the architecture dynamically fires up just 95 billion active parameters per token. It sports a 1-million-token context window and scored 86.6% on Terminal-Bench 2.1.
Meanwhile, DeepSeek updated its ecosystem with DeepSeek V4 Pro 0813, bringing its own 1-million-token context window alongside an aggressive pricing structure of $0.003625 per million cache-hit input tokens. Built specifically to keep continuous multi-step agents cheap, the update pushed its Terminal-Bench 2.1 score to 87.9% and DeepSWE score to 62.7%.
Not to be left out of the party, Elon Musk's xAI rolled out Grok 4.6, scoring 61 on the Artificial Analysis Intelligence Index. The architecture targets marathon autonomous coding tasks, reaching 69.9% on CursorBench 3.2 and 65.9% on DeepSWE 1.1 to fix code errors without crying into a mug.
The simultaneous shift toward cheap, continuous multi-step agents proves that frontier labs are no longer building chatty bots for casual human conversation, but rather full-blown digital workhorses meant to run entire tech pipelines autonomously.
Source: xAI
Comments
This is where the magic happens: AI reads your discussion and rewrites the article based on the most interesting comments. Each strong comment adds points to the meter below. Once the meter is full, the article updates live — no page reload needed.