Chinese AI Coding Models Discussion

<!-- 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/LocalLLaMA/comments/1s59rct/rys_part_3_llms_think_in_geometry_not_language/"> <img alt="RYS Part 3: LLMs think in geometry, not

<!-- SC_OFF --><div class="md"><p>Benchmark: 58.4 vs 56.7 (beats GPT-5.4)</p> <p>License: Fully open (Apache 2.0) </p> <p>What it actually does: Runs 8-hour fully autonomous agent

<!-- SC_OFF --><div class="md"><p>Kimi K2.6 has been getting a lot of hype recently, mostly because it seems like a “good enough for coding, way cheaper than frontier models”

<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>Is there any local llm that gets close to Claude code in agentic coding?</p> </div><!-- SC_ON --> &#32; submitted by &#32; <a

<!-- SC_OFF --><div class="md"><p>Running Llama-3-70B with long contexts and hitting HBM limits constantly. 128K context burns approx 40GB just for KV cache — half the H100 gone

<!-- SC_OFF --><div class="md"><blockquote> <p><strong>WARNING: wait before download from HF: I just realised my upload of the new versions with the additional fix in the chat