Genuine Question: why is Anthropic the benchmark for best/better coding model?

<!-- SC_OFF --><div class="md"><p>I've always been under the impression that open models were closely trailing behind closed source models on nearly every benchmark from LM Arena,

<!-- SC_OFF --><div class="md"><p>Long time Claude Opus user, but after the recent session limit changes by Anthropic, I am seriously considering trying Chinese models for coding.

<!-- SC_OFF --><div class="md"><p>Working on evaluating some AI-generated outbound (SDR-style emails along with follow-ups), and I’m running into a weird problem. Everyone talks

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t1ttm6/recent_foss_vs_sota_long_context_benchmark/"> <img alt="Recent FOSS vs SOTA - Long Context

<!-- SC_OFF --><div class="md"><p>There are so many options now — GPT, Claude, Gemini, etc.</p> <p>I find myself switching depending on what I’m doing (coding, writing, research),

<!-- SC_OFF --><div class="md"><p>I read this sub every day and I keep seeing benchmarks and discussions focused almost entirely on tokens/s generation speed. Prompt processing

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1tdft9u/poetiq_recursive_selfimprovement_delivers_new/"> <img alt="Poetiq: Recursive Self-Improvement

<!-- SC_OFF --><div class="md"><p>I have been following the akitaonrails coding benchmark which tests against a fixed rails + Rubyllm + docker task rather than vendor-reported