DeepSeek V4 just dropped, 1.6T Pro and 284B Flash, MIT license, 1M context. This

<!-- 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>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>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane

<!-- SC_OFF --><div class="md"><p>DeepSeek dropped the full V4 paper this week. preview from april was 58 pages, this version adds a lot of technical depth.</p> <p>What stood out

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1w1uug2/6784_ts_deepseek_flash_v4_off_2x_gx10s/"> <img alt="67-84 t/s DeepSeek flash v4 off 2x GX10s"

<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

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1thkwgk/bytedance_released_an_open_source_model_that/"> <img alt="bytedance released an open source model

<!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/collections/deepseek-ai/deepseek-v4">https://huggingface.co/collections/deepseek-ai/deepseek-v4</a></p>