You turned on prompt caching and your bill went up.
That is possible, and no tutorial mentions it. Cache reads cost 0.1x input. Cache writes cost 1.25x on the 5 minute TTL and 2x on the one hour TTL. Break-even on Anthropic: the 5 minute cache pays off at 2 requests. 1.25 + 0.1
Grok 4.6 just locked in #1 on CursorBench for real-world coding.
Not only is it sitting at the top of the performance chart, it’s also on the efficiency frontier. Frontier-level coding results at a cost most models can’t touch. Claude Fable 5, Opus 5, GPT-5.6 Sol… all behind.
GLM 5.3 Max vs Qwen 3.8 Max vs Grok 4.6 vs Opus 5
GLM 5.3 Max is actually holding up really well here. My ranking for this run: Opus 5 > Qwen 3.8 Max > GLM 5.3 Max > Grok 4.6 Definitely competitive now. GLM is getting scary close.
I programmed a new single prompt game with Claude, but this time I made it much more challenging
I gave him a photo of my living room and asked him to create a 3D game in which the protagonist is a baby and his goal is to throw and eat as many things as possible before I catch him.
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