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DeepSeek

DeepSeek's model releases, open weights, technical reports and API price changes.

10 picksLast 30 days 5 itemsCollected 30 items

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Picks about DeepSeek

10/16Fri
  1. vLLM · X75

    Reflection-Beam-1.0 gets Day-0 support in vLLM

    Reflection-Beam-1.0 from @reflection_ai has Day-0 support in vLLM. 501B total parameters, 23B active per token, and a 1M-token context window. Beam combines hybrid attention with Harmony-format reasoning and tool use. Beam also has Day-0 RL support in SkyRL (@NovaSkyAI): https://t.co/3SjWJKKgpH https://t.co/EkmA1L6B3H

    Why it matters: Day-0 support in vLLM and SkyRL connects Beam’s release to inference and RL workflows, providing concrete context for developers considering how to run or train with the model.

10/15Thu
  1. NVIDIA AI · X76

    StepFun releases open weights for Step 5 Preview, a 600B MoE model

    NVIDIA AI congratulates StepFun on Step 5 Preview, calling it StepFun’s largest open weights release. NVIDIA says the 600B MoE model supports agent tasks lasting up to 24 hours and runs at nearly 8K tokens/sec/GPU on NVIDIA GB300 using NVFP4. StepFun’s quoted announcement lists 27B active parameters per token, a 1M-token context window, native text and vision input, and BF16 and FP8 weights on Hugging Face and ModelScope. NVP4 checkpoint: https://t.co/lSECChAwlW Deploy with https://t.co/GO1wqTSBOk https://t.co/28TBzUo6ZU

    Why it matters: The reported throughput ties Step 5 Preview to a specific GPU and precision format, giving readers concrete deployment context for its long running agent workloads.

10/6Tue
  1. The Decoder78

    CATL and Tencent lead new DeepSeek funding round as company plans early 2027 IPO

    Bloomberg reports that DeepSeek is nearing completion of a new funding round of at least $12 billion. The initial target was about $7.5 billion at a valuation of about $75 billion, but people familiar with the matter say the total could approach $15 billion. CATL and Tencent are the largest contributors.

    Why it matters: The funding amount, investors, and IPO timeline together offer a view of DeepSeek's financing for its compute and open-source strategy.

9/30Wed
  1. 雷锋网80

    DeepSeek open-sources operator toolchain with native TileLang support for Huawei Ascend 950

    DeepSeek added native support for Huawei Ascend 950 NPUs to the TileLang operator-development toolchain and released Ascend versions of five compute and communication libraries: DeepGEMM, DeepEP, FlashMLA, TileKernels, and DeepSelect.

    Why it matters: This report outlines the scope of TileLang's native Ascend support and related operator libraries, showing current coverage in China's domestic compute toolchain.

9/22Tue
  1. Latent Space78

    Xiaomi releases MiMo-V2.6-Pro 1T-A42B, an open-source multimodal model trained for $3 million

    Xiaomi has released the MiMo-V2.6 family, including the multimodal MiMo-V2.6-Pro and MiMo-V2.6-Flash, and introduced MiMo-V2.6-Pro-UltraSpeed, which delivers up to 20× faster output.

    Why it matters: Xiaomi's first entry in the frontier open-model lineup, with open RL environments and training recipes, provides a concrete example of post-training cost strategies.

9/10Thu
  1. DeepSeek · X68

    DeepSeek releases DeepSeek-V4.1-Flash

    DeepSeek has released DeepSeek-V4.1-Flash, describing it as smarter, faster, and more efficient. It is the smallest model in a new architecture family, with native visual understanding, and is designed for stronger capabilities, faster inference, and higher throughput, with the architecture able to scale to larger models.

    Why it matters: As the smallest model in DeepSeek's new architecture family, its native visual understanding and higher inference throughput offer a view of its lightweight multimodal positioning.

8/21Fri
  1. DeepSeek · X78

    DeepSeek-V4-Flash-Vision-Exp launches on the DeepSeek API platform

    DeepSeek has launched the experimental multimodal model DeepSeek-V4-Flash-Vision-Exp on its API platform. Its text capabilities match DeepSeek-V4-Flash across agents, reasoning, and world knowledge.

    Why it matters: The official release gives the new model's text-capability alignment with V4-Flash and improvements on multimodal-agent benchmarks, helping readers assess its readiness for multimodal agents.

8/13Thu
  2. DeepSeek · X82

    DeepSeek releases DeepSeek-V4-Pro

    DeepSeek has released DeepSeek-V4-Pro, highlighting upgraded agent capabilities and notable production gains. V4-Pro and V4-Flash offer flexible reasoning levels: low for simple tasks, high for everyday agent workflows, and max for complex tasks. The model natively supports the OpenAI Responses API and is optimized for Codex with one-click configuration. It is now available in the app, on the web in Expert Mode, and through the API; its model name is unchanged.

    Why it matters: The official announcement describes V4-Pro's agent upgrades and three reasoning levels, helping readers understand its position in production workflows.

7/31Fri
  1. DeepSeek · X78

    DeepSeek-V4-Flash official API enters public beta

    DeepSeek says its official DeepSeek-V4-Flash API is now in public beta. The company reports a major upgrade in agent capabilities, with benchmark scores well above V4-Pro-Preview. It natively supports the Responses API format and is fully adapted for Codex; setup details are in the official API documentation.

    Why it matters: DeepSeek has announced the V4-Flash API beta and improved agent capabilities, offering a basis for assessing integration with Codex.