I ran DeepSeek Harness and Hermes side by side.
They look similar until you actually make them work. DeepSeek Harness was better for: → Heavy coding. → Building interfaces. → Faster output. → Easy model swapping. → Cleaner browser-based use. Hermes was better for
I price out every real option: the move to ChatGPT Pro and Codex
Splitting $100 of Claude Max with $100 of ChatGPT Pro, one frontier plan plus a cheap open-weight workhorse like GLM-5.3 Flash or DeepSeek V4.1 Flash in OpenCode, and running Qwen locally. Then the two dark horses,
NEVO is the premium EV arm of CHANGAN AUTO
The Q07 is built on changan's bluecore 3.0 plug in hybrid system a step further away from the previous iDD platform. Nevo Q07 features 👇 🚟CDC suspension 🧠Onboard AI copilot (DeepSeek) 💻Augmented-Reality HUD 💻Rear seat
The model is not the product.
The harness is. This week: NVIDIA's SoL-Pi cuts agent token traffic 49% without touching weights. The Durable Working Set experiment came back KEEP — confound stated honestly. DeepSeek compresses KV cache to 890 bytes/token. The boundary between
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