Log inSign up
Image
user avatar
StepFun
@StepFun_ai
Scale-up possibilities for everyone. OpenRouter: openrouter.ai/stepfun HuggingFace: huggingface.co/stepfun-ai
stepfun.com
Joined February 2025
158
Following
11.7K
Followers
AffiliatesRepliesMedia
  • Pinned
    user avatar
    StepFun
    @StepFun_ai
    May 29
    ⚡️ Step 3.7 Flash is here: The new frontier is agent efficiency. #1 ClawEval-1.1 (67.1), #1 SimpleVQA Search (79.2), #2 SWE-PRO (56.3), 95.3 on V* Python. Open weights under Apache 2.0. Built for agentic, coding, search, and multimodal workflows — balancing speed, cost, and
    Image
  • user avatar
    StepFun
    @StepFun_ai
    Jul 31
    Voice AI Night was 🔥 Packed room in Mountain View last night for our keynote on next-gen end-to-end speech models + a founder panel with @PLAUDAI @cresta and Firework on building voice AI at global scale. Thanks Seamate for co-hosting — and thanks to everyone who came out,
    Image
    Image
    Image
  • user avatar
    StepFun
    @StepFun_ai
    Jul 29
    Step Plan Free Trial is now available For a limited time: 🎁 15-day Flash Plan free trial for all users ➕ Unlock another 15 days 🤝 Invite friends to earn up to 90 additional days 🚀 Up to 120 days of free access ⏰ Ends Aug 24 · 23:59 UTC Learn more: platform.stepfun.ai/step-plan
    Image
  • user avatar
    StepFun
    @StepFun_ai
    Jul 28
    🎙️ Voice AI Night is coming to Mountain View on July 30. StepFun is teaming up with SEAMATE, PLAUD, Firework, and Cresta to bring together builders across foundation models, AI hardware, video commerce, and enterprise AI. We’ll dive into what it really takes to build Voice
    Image
  • user avatar
    StepFun
    @StepFun_ai
    Jul 25
    Proud to be part of this collaboration! 🎉 Huge thanks to the vLLM team, Ant Group, and FastAFD. Excited to bring AFD to the open-source community.
    user avatar
    vLLM
    @vllm_project
    Jul 24
    🎉 Congrats to the teams behind vLLM AFD Plugin (Ascend & vLLM, @StepFun_ai, @AntGroup, FastAFD): a new experimental plugin under vllm-project that brings Attention-FFN Disaggregation to MoE serving. Attention and the expert/FFN path are two very different workloads that
    Image