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Step 3.7 Flash

Flash-speed agents model that can see and act

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An Apache 2.0 open-weight Flash model for real-world agents. Step 3.7 Flash combines vision, coding, search, tool use, 256K context, ~11B active params, and up to 400 TPS.

PH · launched May 30, 2026 · 183 upvotes (top 75%) · 1 view

Niche: large language models · 191 launches, 4 in the last 7 days ▼ -33% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product
  • Open Source
  • Artificial Intelligence
  • GitHub
  • Development

Visit website ↗ Source listing ↗

Could you build this?

No Step 3.7 Flash is a foundational multimodal large language model (~11B active parameters) requiring extensive pre-training on massive datasets, cluster infrastructure, and advanced ML research.

What it would actually take: Developing this model requires gathering, curating, and filtering trillions of multimodal (vision, text, code) tokens, designing custom transformer architectures optimized for high inference speeds (MoE or sparse attention), and training across massive GPU clusters (H100/A100) using Megatron-LM or DeepSpeed. It also demands post-training RLHF/DPO for tool-use and search grounding, requiring deep ML research expertise and millions of dollars in compute.

Competitors

Other products that read as similar to this one : 78 launches clear the similarity bar, closest 8 shown.

Attention rank: #70 of 79 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 145 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.