8 articles tagged
Qwen3.8-Max shipped on 3 August 2026 at $2 input and $6 output per million tokens, with a 1M context and 15,000 requests per minute. But Qwen3.7-Max is on a 50% discount at $1.25 and $3.75, so the newer flagship costs
Next.js 16.2's stable Adapter API and OpenNext let you run Next.js on AWS, Cloudflare, or Netlify instead of Vercel. The options, the caching that breaks at scale, and the 2026 cost math.
Kimi K3's open weights are 594 GB in BF16 and need about 1.68 TB of VRAM to serve; the API lists at $3/$15 per 1M tokens. Here is the 2026 self-host vs API break-even math with real GPU rates.
Kimi K3's API costs $3/$15 per million tokens. Self-hosting the 2.8T open weights needs roughly 1.4 TB of VRAM. We size the GPUs, price the node against 2026 cloud rates, and work out the break-even.
Kimi K3 (2.8T), DeepSeek V4 (1.6T) and GLM-5.2 (753B) are all open-weight and frontier-class. This decision matrix compares GPU footprint, API list price, and the monthly output-token volume where self-hosting each one
DeepSeek V4 is both a cheap API and an open-weight model you can self-host. Here is the 2026 cost math: Flash at $0.14/$0.28 per 1M tokens, H100/H200 rental rates, and the GPU utilization point where self-hosting pays.
vLLM, Ollama and LM Studio solve different problems. Red Hat measured vLLM at 793 tokens/s versus Ollama's 41, and local inference costs about $0.18-0.29 per million tokens. Throughput, GPU cost, and when each wins.
Z.ai's GLM-5.2 is the strongest open-weight coding model of 2026 and a third of Claude Opus 4.8's input price. Self-hosting it is another bill: 753B parameters, 1.5 TB of weights, a GPU node rented by the hour.
