DeepSeek V4 Pro Max Benchmarks vs Frontier Models

<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/singularity/comments/1sux16b/deepseek_v4_is_out_16_trillion_parameters_mit/"> <img alt="DeepSeek V4 is out. 1.6 trillion

<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>DeepSeek-V4.1-Flash's prompt state is only 0.9 KB/token, so you can split it at layer 20 across CUDA/Metal. All you need is 1/10GbE network.

<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

<!-- 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 />

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1su3wf7/deepseek_v4_released/"> <img alt="Deepseek V4 Released"

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1vmkene/new_deepseek_v4_pro_neck_and_neck_with_frontier/"> <img alt="New DeepSeek v4 pro neck and neck with