deepseek

Seven weeks of open-weight releases put models within a benchmark generation of the frontier on a $5,499 Mac Studio or a 12 GB gaming GPU, but the measured numbers show batched cloud hosts, not desktops, now set the price of mid-market tokens.

DeepSeek's peak/off-peak billing takes effect today, with V4-Pro output up 4.5x at peak and cache-hit input up as much as 12x a fortnight after OpenAI cut Luna 80%, evidence that the price war is convergence toward the true marginal cost of intelligence, not a race to zero.

Grok 4.6, Gemini 3.7 Flash, DeepSeek V4-Pro-0813, and GLM-5.3 shipped within three days of each other and not one is a new base model; the frontier is advancing by post-training, harness, and serving efficiency while every next-generation base stays in the oven.

On June 16, GLM-5.2 became the leading open-weight model on the Artificial Analysis Intelligence Index v4.1 at 51, just 3.4 months behind an equally capable closed model, down from a 9.8-month gap in December 2024.

The lab that refused capital is closing a $7.4B first round at up to $59B: why a battery maker leads it, why Tencent's check is defensive, and why founder Liang Wenfeng kept 40%.

Within three weeks MiniMax M3, Qwen3.7-Max, DeepSeek V4, Kimi K2.6 and Nemotron 3 Ultra all claimed the coding frontier, and third-party leaderboards show a real but small gap, mostly self-graded marquee numbers and a jurisdiction risk no benchmark measures.