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DeepSeek releases V4 Flash Vision Exp with image understanding

DeepSeek ships an experimental multimodal model with 1M-token context, and Pipecat open-sources PhoneLLM Alpha 1 for low-latency voice agents.

๐Ÿš€ RELEASES & LAUNCHES

  • DeepSeek releases V4 Flash Vision Exp with image understanding
    DeepSeek released V4 Flash Vision Exp, an experimental multimodal model.

    • Targets developers building coding and multimodal agent workflows.
    • Adds JPEG, PNG, GIF, and WebP image input while retaining V4 Flash text capabilities.
    • Supports a 1M-token context window and caps each image at 384 tokens after resizing.
    • DeepSeek reports multimodal-agent performance near Claude Opus 4.8; third-party reporting says it led V4 Flash on six of seven text-agent benchmarks.
    • Off-peak pricing is $0.22 per million input tokens and $0.66 per million output tokens, matching V4 Flash.
    Sources ๐Ÿ“„ Source: api-docs.deepseek.com ยท ๐Ÿ“Ž Coverage: eesel.ai ยท ๐Ÿ‘ via r/LocalLLaMA
  • Pipecat releases PhoneLLM Alpha 1 for low-latency voice agents
    Pipecat released PhoneLLM Alpha 1, an open-weights model for voice agents.

    • Targets voice agents for financial services, healthcare, retail, hospitality, and customer service.
    • Fine-tuned NVIDIA Nemotron 3 Nano 30B-A3B with 30B total parameters and 3.5B active parameters.
    • PhoneBench score reached 72.3%, with about 600ms P95 time-to-first-token and estimated cost of $0.0025 per minute.
    • Released under the BSD 2-Clause license on Hugging Face, with vLLM and SGLang deployment support.
    • The model is trained for low-latency conversational tool use without extended reasoning, enabling self-hosted voice-agent deployments.
    Sources ๐Ÿ“„ Source: huggingface.co ยท ๐Ÿ“Ž Coverage: daily.co ยท ๐Ÿ‘ via r/LocalLLaMA

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