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DeepSeek V4.1-Flash-1017

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Headlines · 5

  1. OpenAI reportedly signals GPT-6.1 Astra through banked token resets

    Wccftech says OpenAI’s new banked token-limit resets may be intended to prepare users for a possible GPT-6.1 Astra release. It also cites an internal tracker entry attributed to GPT-6.2 Betelgeuse, while noting that neither model has been confirmed. Separately, Artificial Analysis personality data shows similarities between Kimi K3.1 Pro and GPT-6 Astra, and between GLM-5.3 and Claude 5, but Wccftech cautions that these similarities do not prove distillation.

    Wccftech · 🔥 9
  2. DeepSeek V4.1-Flash-1017 Tops OpenRouter Weekly Usage Ranking

    DeepSeek V4.1-Flash-1017 ranked first on OpenRouter’s Oct. 19–25 weekly model-usage chart with 33.6 trillion tokens, up 801% from the previous week. The previous V4.1 Flash ranked second with 18 trillion tokens and a 45% decline, while MiniMax M3.1 Flash, GLM 5.3 Flash, and Tencent Hy4 preview completed the top five. The ranking covers aggregated API traffic routed through OpenRouter and excludes vendor websites, independent apps, and private deployments.

    36氪 人工智能 · 🔥 0
  3. Unsloth releases 1-bit GGUF builds for DeepSeek V4.1-Flash-1017

    Unsloth released GGUF builds of DeepSeek V4.1-Flash-1017 for local use, including a 1-bit configuration that it says retains about 88.2% accuracy while reducing model size from 508GB to 250GB. The company also claims strong benchmark rankings, but the reports provide no independent measurements, and the stated RAM requirement varies between 64GB and 128GB across its posts.

    UnslothAI (X) · 🔥 4
  4. DeepSeek releases V4.1 Flash-1017, claiming far lower per-task cost

    DeepSeek released V4.1-Flash-1017, updating its website, app and API and publishing MIT-licensed weights, according to a Recode China AI digest. The multimodal model keeps a 1M-token context window, and DeepSeek reports improved coding and agent performance with shorter outputs and faster task completion, including 77.0 on DeepSWE v1.1 using Mini-SWE-V2. cnBeta, citing a Pareto curve published by DeepSeek itself, says per-task cost is 1/50 to 1/100 that of models such as Fable and Astra; these cost and efficiency figures are vendor claims and have not been independently verified.

    cnBeta · 🔥 0
  5. DeepSeek ships V4.1-Flash-1017, claiming faster, leaner coding

    On October 17 DeepSeek updated V4.1 Flash to V4.1-Flash-1017, switching its official web, app and API models to the new version while keeping API access and pricing unchanged through deepseek-flash. DeepSeek says the update scores higher on benchmarks while cutting task runtime and output length, and that token usage fell by more than 50% versus the prior version in most scenarios; it was also tuned for frameworks including DeepSeek Harness, Tencent CodeBuddy and WorkBuddy. DeepSeek opened its own Search and Fetch APIs the same day, and the model is live on OpenRouter; Wccftech and others report scores above rival models on benchmarks such as DeepSWE, though those figures are secondhand and not independently verified.

    IT之家 AI · 🔥 0

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