DeepSeek V4 Performance Benchmarks

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x8qvaj/muse_spark_on_m3u_256_gb/"> <img alt="Muse Spark on M3U 256 GB"

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1su5gj5/buried_lede_deepseek_v4_flash_is_incredibly/"> <img alt="Buried lede: Deepseek v4 Flash is

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1su3fle/deepseek_v4_flash_pro_now_out_on_api/"> <img alt="DeepSeek V4 Flash &amp; Pro Now out on API"

<!-- SC_OFF --><div class="md"><p>Hey 👋</p> <p>Saw the tweet making the rounds about deepseek v4 being 35x cheaper than opus on input and 178x cheaper on cached tokens, and was

<!-- SC_OFF --><div class="md"><p>I’ve managed to get it to run and, with some patches to llama.cpp, I get ~8 tok/s decode and ~30 tok/s prefill on a M1 Max 64GB MacBook.</p>

<!-- SC_OFF --><div class="md"><p>Few days ago I posted about my <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t94ito/i_have_deepseek_v4_pro_at_home/">DeepSeek V4 Pro</a>

<!-- SC_OFF --><div class="md"><p>The benchmark sheet dropped this morning and people are losing it in the ML community.</p> <p><strong>What DeepSeek R2 scores:</strong><br />

<!-- SC_OFF --><div class="md"><p>So i recently updated LMstudio after a long pause and updated my llama.cpp runtimes too.. i was shocked.. i thought maybe something like